Image processing apparatus and image processing method

ABSTRACT

The present invention suppresses data processing load and processing time when generating density data for the same color that corresponds to a plurality of printing scans (or plurality of printing element groups) of a printing head and printing medium. In order to accomplish this, input image data is converted to a plurality of density data by referencing a three-dimensional lookup table that performs one-to-one correlation of input image data with a plurality of density data that corresponds to a plurality of relative movements (or plurality of printing element groups). By doing so, it is possible to perform a process of generating density data (CMYK) that corresponds to a plurality of relative movements (or plurality of printing element groups) from input image data at once, and thus it is possible to suppress an increase in data processing load and processing time.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to an image processing apparatus and image processing method that process multi-valued image data that corresponds to the same area in order to print images in the same area by relatively moving a print means a plurality of times or by relatively moving a plurality of printing element groups with respect to the same area of a printing medium.

2. Description of the Related Art

An inkjet printing method that prints dots on a printing medium by ejecting ink from printing elements (nozzles) is known as an example of a printing method that uses a printing head comprising a plurality of printing elements for printing dots. This kind of inkjet printing apparatus can be categorized as full-line type or serial type according to differences in construction. Regardless of whether the device is full-line type or serial type, variation occurs in the ejection amount and ejecting direction of the plurality of printing elements of the printing head. In addition, due to these kinds of variations, density unevenness or stripes may occur in the image.

A multi-pass printing method is known as technology for reducing this kind of density unevenness or stripes. In the multi-pass printing method, image data that is to be printed on the same area of a printing medium is divided into image data to be printed in a plurality of printing scans. Moreover, the divided image data is sequentially printed according to the plurality of printing scans with a movement operation in between each printing scan. By doing so, even though there are variations in ejection characteristics of each of the individual print element, it is possible to disperse the effect of individual print elements over a wide range without the dots printed by one print element being continuous in the scanning direction. As a result, it is possible to obtain a uniform and smooth image.

This kind of multi-pass printing method can be applied to either a serial type or full-line type printing device that comprise a plurality of printing heads (or a plurality of printing element groups) that eject the same kind of ink. That is, image data is divided into image data that is to be printed by a plurality of printing element groups that eject the same kind of ink, and that divided image data is printed during at least one relative movement for each of the plurality of printing element groups. As a result, even though there is variation in the ejection characteristics of the individual print elements, it is possible to reduce the effect of that variation. Furthermore, it is possible to combine the two printing methods described above, and to print an image by performing printing scanning a plurality of times while using a plurality of printing element groups that eject the same kind of ink.

Conventionally, in performing this kind of division of image data, masks were used for which data that allows printing of dots (1: data that does not mask image data) and data that does not allow printing of dots (0: data that masks image data) are arranged beforehand. More specifically, by performing a logical AND operation between binary image data to be printed on the same area of a printing medium and the aforementioned mask, the binary image data is divided into binary image data that is to be printed by each printing scan or each printing head.

In this kind of mask, the arrangement of data that allows printing (1) is set so that there is a complementary relationship between the plurality of printing scans (or plurality of printing heads). In other words, pixels that are set to be printed (1) by the binarized image data are such that one dot is printed by either one printing scan or one printing head. By doing so, the image information before division is saved even after division.

However, recently, by performing the multi-pass printing described above, a new problem has emerged in that changes in density or density unevenness occur due to printing position displacement (registration) in units of printing scans or printing heads (printing element groups). The shift in the printing position in printing scan units or printing element group units referred to here is as described below. That is, this shift is a shift between dot groups (planes) such as a shift in the dot group (plane) that is printed by the first printing scan (or a printing element group) and the dot group (plane) that is printed by the second printing scan (or a different printing element group). The shift between these planes is caused by fluctuation in the distance between the printing medium and the ejection port face and fluctuation in the amount the printing medium is conveyed. In addition, when shifting does occur between planes, there is fluctuation in the dot coverage, which causes density fluctuation or density unevenness. As was described above, dot group and pixel group that are printed by the same printing scan and the same unit (for example, one printing element group that ejects the same kind of ink) is hereafter called a ‘plane’.

As described above, recently there is a demand for even higher quality images, and a data image processing method during multi-pass printing that is capable of tackling a shift in the printing position between planes that is caused by fluctuation of various printing conditions is desired. Hereafter, in this specification, resistance to density fluctuation or density unevenness that is caused by shifting in the printing position between planes due to any printing condition is referred to as ‘robustness’.

Japanese Patent Laid-Open No. 2000-103088 and Japanese Patent Laid-Open No. 2001-150700 disclose an image data processing method for improving robustness. These disclosures focus on that fluctuation of image density due to fluctuation of various printing conditions is caused by a perfect complementary relationship between the binary image data after being distributed so that the image data corresponds to different printing scans or different printing element groups. Moreover, these disclosures point out that by creating image data that corresponds to different printing scans or different printing element groups such that the complementary relationship is reduced, it is possible to achieve multi-pass printing with excellent ‘robustness’. Furthermore, in these disclosures, in order that large density fluctuation does not occur even when there is shifting between a plurality of planes, multi-valued image data before binarization is divided so that the image data corresponds to different printing scans or printing element groups, and that divided multi-valued image data is then binarized independently (without correlation).

FIG. 10 is a block diagram for explaining the image data processing method that is disclosed in Japanese Patent Laid-Open No. 2000-103088 or Japanese Patent Laid-Open No. 2001-150700. Here, the case is illustrated in which multi-valued image data is distributed for two printing scans. The multi-valued image data (RGB) that is inputted from a host computer is converted by a palette conversion process 12 to multi-value density data (CMYK) that corresponds to the ink color of the printing apparatus. After that, the multi-value density data (CMYK) undergoes gradation correction by a gradation correction process. The following processing is performed independently for each of the colors black (K), cyan (C), magenta (M) and yellow (Y).

The multi-value density data of each color is distributed by an image data distributing process 14 for first scan multi-value data 15-1 and second scan multi-value data 15-2. In other words, when the value of multi-valued image data for black is ‘200’, for example, the image data ‘100’, which corresponds to half of ‘200’, is distributed for the first scan, and similarly, the image data ‘100’ is distributed for the second scan. After that, the multi-value data 15-1 for the first scan undergoes quantization processing by a first quantization process 16-1 according to a specified diffusion matrix, then is converted to binary data 17-1 for the first scan and stored in a band memory for the first scan. On the other hand, the multi-value data 15-2 for the second scan undergoes quantization processing by a second quantization process 16-2 according to a different diffusion matrix, then is converted to binary data 17-2 for the second scan and stored in a band memory for the second scan. In the first printing scan and second printing scan, ink is ejected according to the binary data that is stored in the respective band memory. In FIG. 10, the case of distributing one image data for two printing scans was explained; however, in Japanese Patent Laid-Open No. 2000-103088 and Japanese Patent Laid-Open No. 2001-150700, the case in which the one image data is distributed for two printing heads (two printing element groups) is also disclosed.

FIG. 14A is a diagram that illustrates the arrangement state of dots (black dots) 1401 to be printed in a first printing scan and dots (white dots) 1402 to be printed in a second printing scan when dividing image data using a mask pattern having a complementary relationship. Here, the case is illustrated in which 255 density data are inputted for all of the pixels, and one dot is printed for all of the pixels by either the first printing scan or second printing scan. In other words, the dots that are printed by the first printing scan and the dots that are printed by the second printing scan are arranged so that they do not overlap each other.

On the other hand, FIG. 14B is a diagram that illustrates the arrangement state of dots when distributing the image data according to the method disclosed in Japanese Patent Laid-Open No. 2000-103088 and Japanese Patent Laid-Open No. 2001-150700. In the diagram, the black dots are dots 1501 that are to be printed in a first printing scan, the white dots are dots 1502 that are to be printed in a second printing scan, and the gray dots are dots 1503 that are printed by overlapping of the first printing scan and second printing scan. In FIG. 14B, there is no complementary relationship between the dots to be printed by the first printing scan and the dots to be printed by the second printing scan. Therefore, when compared with the case in FIG. 14A where the dots are in a complete complementary relationship, portions (gray dots) 1503 occur where two dots overlap, and there are blank areas where no dots are printed.

Here, the case is considered in which a first plane, which is a collection of dots to be printed by the first printing scan, and a second plane, which is a collection of dots to be printed in the second printing scan, are shifted by the amount of one pixel in either the main scanning direction or the sub-scanning direction. In that case, when the first plane and second plane are in a complete complementary relationship as in FIG. 14A, the dots that are printed in the first plane completely overlap the dots that are printed in the second plane, so areas of blank paper are exposed, and there is a large drop in image density. Even when there is shifting that is not as large as one pixel, fluctuation of distance between or overlapping of adjacent dots greatly affects the coverage of dots in blank areas and image density. That is, it is known that when this kind of shifting between planes changes according to fluctuation in the distance between the printing medium and the ejection port face (distance to the paper), or fluctuation in the amount the printing medium is conveyed, that the image density will also fluctuate, causing density unevenness.

On the other hand, in the case of FIG. 14B, even when there is shifting as much as the amount of one pixel between the first plane and second plane, there is not much fluctuation in coverage of dots on the printing medium. Areas where there is overlap of the dots that are printed in the first printing scan and the dots that are printed in the second printing scan newly appear; however, there are also areas where two dots that were already overlapping are separated. Therefore, when making a judgment over a large area, there is not much fluctuation of the coverage of the dots on the printing medium, so it is also difficult for fluctuation in image density to occur. In other words, by employing the method disclosed in Japanese Patent Laid-Open No. 2000-103088 or Japanese Patent Laid-Open No. 2001-150700, even though there is fluctuation in the distance between the printing medium and the ejection port face (distance to the paper) or fluctuation in the amount the printing medium is conveyed, it is possible to suppress the fluctuation in image density or density unevenness that is caused by these, and thus it is possible to output an image having excellent robustness.

However, in the method disclosed in Japanese Patent Laid-Open No. 2000-103088 or Japanese Patent Laid-Open No. 2001-150700, the palette conversion process 12, gradation correction process 13 and image data distributing process 14 are gradually performed independently. Therefore, in order to realize these processes through hardware, it is necessary to prepare more circuits than existed conventionally. Moreover, when performing these processes by software, it is necessary to perform more conversion processing for one image data, so there is an increase in processing load and processing time.

SUMMARY OF THE INVENTION

The object of the present invention is to solve the problems described above. Therefore, the object of the present invention is to provide an image processing apparatus and image processing method that are capable of suppressing an increase in data processing load and processing time even when image process is such that it distributes multi-value density data for a plurality of printing scans (or a plurality of printing element groups).

The first aspect of the present invention is an image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to the printing medium, comprising: a generation unit configured to generate a plurality of density data for the same color from input image data by referencing a lookup table that correlates the input image data with the plurality of density data for the same color that corresponds to the plurality of relative movements; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.

The second aspect of the present invention is an image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a plurality of printing element groups for ejecting ink of the same color in nearly equal amounts a plurality of times relative to the printing medium, comprising: a generation unit configured to generate a plurality of density data for the same color from input image data by referencing a lookup table that correlates the input image data with a plurality of density data for the same color that corresponds to the plurality of printing element groups; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.

The third aspect of the present invention is an image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to the printing medium: the print unit having a plurality of printing element group for ejecting ink of the same color in nearly equal amounts, arranged in a printing elements arraying direction such as the plurality of printing element group have overlap regions in a direction crossing the printing elements arraying direction, the image processing apparatus comprising: a generation unit configured to generate a plurality of density data for the same color from input image data by referencing a lookup table that correlates the input image data with a plurality of density data for the same color that corresponds to the plurality of printing element groups related to the same overlap region; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.

The fourth aspect of the present invention is an image processing method for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to a print medium, wherein a plurality of density data for the same color is generated from the input image data by referencing a lookup table that correlates the input image data with the plurality of density data for the same color that corresponds to the plurality of relative movements; and each of the plurality of density data for the same color is quantized.

The fifth aspect of the present invention is an image processing method for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit having a plurality of printing element groups for ejecting ink of the same color in nearly equal amounts relative to the printing medium, wherein a plurality of density data is generated from the input image data by referencing a lookup table that correlates the input image data with the plurality of density data for the same color that corresponds to the plurality of printing element groups; and each of the plurality of density data for the same color is quantized.

Further features of the present invention will become apparent from the following description of exemplary embodiments (with reference to the attached drawings).

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a perspective view of a photo direct printer (hereafter, referred to as a PD printer) of one embodiment of the present invention;

FIG. 2 is a view of the control panel 1010 of the PD printer 1000 of one embodiment of the present invention;

FIG. 3 is a block diagram illustrating the main parts related to control of the PD printer 1000 of one embodiment of the present invention;

FIG. 4 is a block diagram illustrating the internal construction of a printer engine 3004 of one embodiment of the present invention;

FIG. 5 is a perspective diagram illustrating the printing unit of the printer engine of a serial-type inkjet printing apparatus of one embodiment of the present invention;

FIG. 6 is a block diagram for explaining the image processing that is executed in a first embodiment of the present invention;

FIGS. 7A to 7H are diagrams for explaining dot coverage;

FIG. 8 is a diagram that illustrates one example of a mask pattern that can be applied in the present invention;

FIG. 9 is a diagram for explaining the relationship between the printing rate and dividing rate of a second embodiment of the present invention;

FIG. 10 is a block diagram for explaining the image data dividing method that is disclosed in Japanese Patent Laid-Open No. 2000-103088 or Japanese Patent Laid-Open No. 2001-150700;

FIG. 11 is a diagram that illustrates the state of 2-pass multi-pass printing;

FIG. 12 is a schematic diagram for explaining a detailed example of the image process illustrated in FIG. 6 or FIG. 21;

FIGS. 13A and 13B are diagrams illustrating an example of an error diffusion matrix that is used in quantization processing;

FIG. 14A is a diagram illustrating the dot arrangement state in the case of dividing image data using a mask pattern having a complementary relationship; and FIG. 14B is a diagram illustrating the dot arrangement in the case of dividing image data according to the method disclosed in Japan Patent Laid-Open No. 2000-103088 and Japanese Patent Laid-Open No. 2001-150700;

FIG. 15A is a diagram illustrating the state of dispersing dots; and FIG. 15B is a diagram illustrating the state of irregularly arranging the overlapping areas and adjacent areas of dots;

FIG. 16 is a flowchart for explaining one example of a quantization processing method that can be executed by the control unit 3000 of a third embodiment of the present invention;

FIG. 17 is a flowchart for explaining the processing steps when performing 3-plane quantization;

FIG. 18 is a diagram illustrating the correlation between 3-value quantization processing (K1″, K2″) and input values (K1 ttl, K2 ttl) of the quantization processing unit 45;

FIG. 19 is a diagram for explaining the dot overlap rate when performing an index expansion process;

FIG. 20 is a diagram in the case of observing the printing head 5004 from the surface on which the ejection port is formed;

FIG. 21 is a block diagram for explaining the image processing that is executed in a third embodiment of the present invention;

FIGS. 22A to 22G are diagrams illustrating the correlation between binary quantization processing results (K1″, K2″) and input values (K1 ttl, K2 ttl) that use a threshold value that is entered in the threshold value table of Table 3;

FIG. 23 is a block diagram for explaining image processing that is executed in a fifth embodiment of the present invention;

FIG. 24 is a flowchart for explaining one example of an error diffusion method that can be executed by the control unit 3000 in order to reduce the dot overlap rate in a first variation of the third embodiment; and

FIG. 25 is a schematic diagram of a printing head of connecting type.

DESCRIPTION OF THE EMBODIMENTS

In the following, embodiments of the present invention will be explained in detail with reference to the accompanying drawings.

The embodiments that will be described below are examples of an inkjet printing apparatus; however, the present invention is not limited to an inkjet printing apparatus. The invention can also be applied to devices other than an inkjet printing apparatus as long as the device uses a method of printing images on a printing medium by a print means while movement of the print means for printing dots relative to the printing medium.

Moreover, ‘relative movement’ between the print means and printing medium is an operation of the print means moving (scanning) relative to the printing medium, or is an operation of the printing medium moving (being conveyed) relative to the print means. In the case of executing multi-pass printing with a serial-type printing apparatus, the scanning by the printing head is executed a plurality of times so that the print means faces the same area of the printing medium a plurality of times. On the other hand, in the case of executing multi-pass printing with a full-line type printing apparatus, conveying the printing medium is executed a plurality of times so that the print means faces the same area of the printing medium a plurality of times. The print means is one or more printing element group (nozzle array) or one or more printing head.

In the image processing apparatus described below, data is processed in order to print an image on the same area by relatively moving the print means a plurality of times, or by relatively moving a plurality of printing element groups with respect to the same area (specified area) of the printing medium. Here, the ‘same area (specified area)’ in a micro sense is a ‘one pixel area’, and in a macro sense is an ‘area that can be printed during one relative movement’. A pixel area may simply be referred to as a ‘pixel’, and is the minimum unit of area that is capable of gradation expression using multi-valued image data. On the other hand, an ‘area that can be printed during one relative movement’ is an area on a printing medium over which the print means passes during one relative movement, or an area that is a little smaller than this area (for example, one raster area). For example, in a serial-type printing apparatus, when executing a multi-pass mode of M (M is an integer 2 or greater) number of passes such as illustrated in FIG. 11, on a macro sense, it is possible to define one printing area in the figure as the same area.

<Summary Explanation of the Printing Apparatus>

FIG. 1 is a perspective view of a photo direct printer (hereafter, referred to as a PD printer) 1000 of one embodiment of the present invention, or in other words is an image formation device (image processing apparatus). In addition to functioning as a normal PC printer that receives data from a host computer and prints, the PD printer 1000 has other various functions as described below. That is, there is a function of directly reading image data that is stored on a memory medium such as a memory card and printing it, and a function of receiving image data from a digital camera or PDA and printing it.

In FIG. 1, the main body of the outer shell of the PD printer 1000 of this embodiment has a bottom case 1001, top case 1002, access cover 1003, and output tray 1004. The bottom case 1001 forms approximately the lower half of the main body of the PD printer 1000, and the top case forms approximately the upper half of the main body. By combining both cases, an empty structure is formed having storage space for internally storing all of the mechanisms to be described later, with various opening sections being formed on the top surface and the front surface.

One end of the output tray 1004 is supported in the bottom case 101 so that it can be rotated freely, and by rotating the output tray 1004, it is possible to open or close the opening section that is formed on the front surface of the bottom case 1001. Therefore, by opening the opening section by rotating the output tray 1004 toward the front surface side, the printing medium (including normal paper, special paper, plastic sheets) that will be printed can be output, and the printing medium that is outputted is sequentially stacked. In addition, two supplement trays 1004 a, 1004 b are stored in the output tray 1004, and by pulling each tray forward as necessary, it is possible to increase or decrease the support surface for supporting the printing medium in three stages.

One end of the access cover 1003 is supported by the top case 1002 such that it can freely rotate, making it possible to open or close the opening section that is formed in the top surface. By opening the access cover 1003, it is possible to replace the printing head cartridge (not shown in the figure) or ink tank (not shown in the figure) that are stored inside the main body. When opening or closing the access cover 1003, a protrusion that is formed on the rear surface of the cover rotates a cover open/close lever, and by detecting the position of rotation by a micro switch etc., it is possible detect the opened/closed state of the access cover 1003.

A power key 1005 is provided on the top surface of the top case 1002. A control panel 1010 comprising a liquid-crystal display section 1006 and various key switches is provided on the right side of the top case 1002. The construction of the control panel 1010 will be described later with reference to FIG. 2. An auto feed unit 1007 automatically feeds the printing medium inside the printer. A head-to-paper distance selection lever 1008 is a lever for adjusting the space between the printing head and the printing medium. An adapter in which memory cards can be mounted is inserted into a card slot 1009, and an image can be printed by directly reading the image data that is stored on a memory card by way of this adapter. Examples of memory cards (PC) include, for example, a compact flash memory, smart media and memory stick. A viewer (liquid-crystal display section) 1011 which is detachable from PD printer 1000 is used to display one frame images or index images at a time when searching for an image to be printed from among the images stored on a PC card. There is a USB terminal 1012 for connecting a digital camera as will be described later. On the rear of the PD printer 1000, there is a USB connector for connecting a personal computer (PC).

<Summary Explanation of the Control Unit>

FIG. 2 is a view of the control panel 1010 of the PD printer 1000 of one embodiment of the present invention. In the figure, menu items for performing various settings of printing related conditions are displayed on the liquid-crystal display unit 1006. For example, the following items may be displayed.

-   -   The starting number of photographic images to be printed from         among a plurality of photographic image files     -   Specified frame number (starting frame specification/printed         frame specification)     -   The ending number (end) where printing is to be ended     -   Number of printed copies (number of copies)     -   Type of printing medium (paper type) to be used in printing     -   Setting for the number of photographs to print on one printing         medium (layout)     -   Printing quality specification (quality)     -   Specification of whether or not to print the date the photo was         taken (date)     -   Specification of whether or not to correct the photograph before         printing (image correction)     -   Display of the number of sheets of printing medium required for         printing (number of sheets)

These items can be selected or specified using a cursor key 2001. It is also possible to switch the type of printing (index printing, all frames printing, 1 frame printing, specified frame printing) each time the mode key 2002 is pressed, with an LED 2003 that corresponds to the selection lighting up. A maintenance key 2004 is a key for performing maintenance of the printing apparatus, such as cleaning of the printing head and the like. A start printing key 2005 is pressed to give an instruction to start printing, or to establish maintenance settings. A stop printing key 2006 is pressed when stopping printing or when giving an instruction to stop maintenance.

<Summary of Electrical Specifications of the Control Unit>

FIG. 3 is a block diagram illustrating the main parts related to control of the PD printer 1000 of one embodiment of the present invention. In FIG. 3, the same reference numbers are given to parts that are common with those in the previously described figures, so an explanation of those parts will be omitted. As can be clearly seen from the following explanation, the PD printer 1000 functions as an image processing apparatus.

In FIG. 3, reference number 3000 is the control unit (control board). Also, reference number 3001 is an image processing ASIC (special customized LSI). Reference number 3002 is a DSP (Digital Signal Processor), and having an internal CPU, performs various control processing that will be described later, as well as image processing such as conversion from a brightness signal (RGB) to a density signal (CMYK), scaling, gamma conversion, error diffusion and the like. Reference number 3003 is a memory, and has a program memory 3003 a that stores a control program for the CPU of the DSP 3002, a RAM area that stores programs during execution, and a memory area that functions as a work memory for storing image data and the like. Reference number 3009 is a printer engine, where here a printer engine for an inkjet printing apparatus that prints color images using a plurality of color inks is mounted. Reference number 3005 is a USB connector that is used as a port for connecting a digital camera (DSC) 3012. Reference number 3006 is a connector for connecting a viewer 1011. Reference number 3008 is a USB hub, and when the PD printer 1000 performs printing based on image data from a PC 3010, data from the PC 3010 passes through as is and output to the printer engine 3004 via the USB 3021. By doing so, the connected PC 3010 is able to execute printing by directly exchanging data and signals with the printer engine 3004 (functions as a normal PC printer). Reference number 3009 is a power connector to which power from the power supply 3010 that has been converted from commercial AC voltage to DC voltage is input. The PC 3010 is a typical personal computer, reference number 3011 is a memory card (PC card) as described above, and reference number 3012 is a digital camera (DSC: Digital Still Camera).

The exchange of signals between this control unit 3000 and the printer engine 3004 is performed via the USB 3021 described above, or an IEEE 1284 bus 3022.

<Summary of Electrical Specifications for the Printer Engine>

FIG. 4 is a block diagram illustrating the internal construction of a printer engine 3004 of one embodiment of the present invention. In the figure, reference number E0014 denotes the main board. Reference number E1102 denotes an engine unit ASIC (Application Specific Integrated Circuit). This engine unit ASIC E1102 is connected to the ROM E1004 via a control bus E1014, and performs various control according to a program stored in the ROM E1004. For example, the engine unit ASIC E1102 transmits or receives sensor signals E0104 that are related to the sensors, or multi-sensor signals E4003 that are related to multi-sensors E3000. In addition, the engine unit ASIC E1102 detects the state of an encoder signal E1020 as well as output from the power key 1005 and various keys on the control panel 1010. Moreover, the engine unit ASIC E1102 performs judgment of various logical operations and various conditions according to the connection and data input state of the host I/F E0017 and device I/F E0100 on the front panel, controls all of the component elements and performs control for driving the PD printer 1000.

Reference number E1103 denotes a driver/reset circuit. The driver/reset circuit E1103 drives each motor by generating a CR motor drive signal E1037, an LF motor drive signal E1035, an AP motor drive signal E4001 and a PR motor drive signal E4002 according to a motor control signal E1106 from the engine unit ASIC E1102. Moreover, the driver/reset circuit E1103 has a power-supply circuit, which supplies power required for each unit such as the main board E0014, the carriage board of the moving carriage in which the printing head is mounted, and control panel 1010. Furthermore, the driver/reset circuit E1103 detects a drop in power-supply voltage, as well as generates a reset signal E1015 and performs reset.

Reference number E1010 denotes a power-supply control circuit which controls the power supply to each sensor having optical elements according to a power-supply control signal E1024 from the engine unit ASIC E1102.

The host I/F E0017 is connected to the PC 3010 via the image processing ASIC 3001 and the USB HUB 3008 in the control unit 3000 in FIG. 3. In addition, the host I/F signals E1028 from the engine unit ASIC E1102 are sent to the host I/F cable E1029, and signals from the cable E1029 are sent to the engine unit ASIC E1102.

The power for the printer engine is supplied from a power-supply unit E0015 that is connected to the power-supply connector 3009 in FIG. 3, and as necessary, undergoes voltage conversion and is supplied to each of the units inside and outside of the main board E0014. On the other hand, the power-supply unit control signal E4000 is sent to the power-supply unit E0015 from the engine unit ASIC E1102, and is used for controlling the low-power consumption mode of the PD printer.

The engine unit ASIC E1102 is a semiconductor integrated circuit having a single-chip arithmetic processing unit, and outputs signals such as the motor control signal E1106 described above, a power-supply control signal E1024, and a power-supply unit control signal E4000. The engine unit ASIC E1102 also receives signals from the host I/F E0017, and receives signals from the device I/F E0100 on the control panel via the panel signal E0107. Moreover, the engine unit ASIC E1102 via sensor signals E0104, detects states from the sensors such as the PE sensor and ASF sensor. Furthermore, the engine unit ASIC E1102 controls the multi sensor E3000 as well as detects the state via a multi-sensor signal E4003. The engine unit ASIC E1102 also detects the state of panel signals E0107, controls driving of panel signals E0107 and controls flashing of the LED 2003 on the control panel.

Furthermore, the engine unit ASIC E1102 detects the state of the encoder signal (ENC) E1020, creates a timing signal, interfaces with the printing head by a head control signal E1021 and controls the printing operation. Here, the encoder signal (ENC) E1020 is an output signal from the encoder sensor E0004 that is input via a CRFFC E0012. Also, the head control signal E1021 is connected to the carriage board (not shown in the figure) via a flexible flat cable E0012. The head control signal that is received by the carriage board is supplied to the printing head H1000 via a head drive voltage modulation circuit and head connector that are constructed here, and various information is sent from the printing head H1000 to the ASIC E1102. Of this information, head temperature information for each ejecting unit is amplified by a head temperature detection circuit E3002 on the main board, after which it is input to the engine unit ASIC E1102 and used for determining various control.

In the figure, reference number E3007 denotes a DRAM that is used as a buffer, such as a data buffer for printing, or a reception data buffer for data received from the PC 3010 via the image processing ASIC 3001 or USB HUB 3008 of the control unit 3000 in FIG. 3. The DRAM 3007 is also used as a necessary work area when performing various control operations.

<Summary of the Printing Unit>

FIG. 5 is a perspective diagram illustrating the summary of the printing unit of the printer engine of a serial-type inkjet printing apparatus of one embodiment of the present invention. The printing medium P is fed by the auto feed unit 1007 to the nip section of a conveying roller 5001 that is located on the conveying path and the pinch roller 5002 that follows it. After that, the printing medium P is conveyed in the direction of the arrow ‘A’ (sub scanning direction) in the figure by a rotation of the conveying roller 5001 while being guided and supported by a platen 5003. The pinch roller 5002 is elastically pressed against the conveying roller 5001 by a pressure method such as a spring (not shown in the figure). The conveying roller 5001 and the pinch roller 5002 are component elements of a first conveying unit located up line in the conveyance direction of the printing medium.

The platen 5003 is provided at a printing position that faces the surface (ejection surface) on which the ejection port of the inkjet type printing head 5004 is formed, and by providing support to the rear surface of the printing medium P, the distance between the surface of the printing medium and the ejection surface is kept at a constant distance. The printing medium P that is conveyed and printed on the platen 5003 is held between a rotating discharging roller 5005 and a spur 5006 that rotates following discharging roller 5005 and conveyed in the direction ‘A’, then discharged from the platen 5003 to a discharge tray 1004. The discharging roller 5005 and spur 5006 are component elements of a second conveying unit that is located down line in the conveying direction of printing medium.

The printing head 5004 is mounted in the carriage 5008 such that it can be mounted or removed, and such that the ejection port face is facing the platen 5003 or printing medium P. The carriage 5008 is moved back-and-forth along two guide rails 5009, 5010 by the driving force of the carriage motor E0001, and during this movement process the printing head 5004 executes the ink ejecting operation according to a print signal. The direction that the carriage 5008 moves in is a direction that crosses the direction that the printing medium is conveyed (direction of arrow ‘A’), and is called the main scanning direction. On the other hand, the direction that the printing medium is conveyed in is called the sub scanning direction. Printing on the printing medium is performed by alternately repeating main scanning of the carriage 5008 and the printing head 5004 (movement that accompanies printing) and conveying the printing medium (sub scanning).

FIG. 20 is a diagram in the case of observing the printing head 5004 from the surface on which the ejection port is formed. In the figure, reference number 51 denotes a first cyan nozzle array (printing element group), and reference number 58 denotes a second cyan nozzle array. Reference number 52 denotes a first magenta nozzle array, and reference number 57 denotes a second magenta nozzle array. Reference number 53 denotes a first yellow nozzle array, and reference number 56 denotes a second yellow nozzle array. Reference number 54 denotes a first black nozzle array, and reference number 55 denotes a second black nozzle array. The width in the sub scanning direction of each nozzle array is ‘d’, and printing of a width ‘d’ is possible in one scan.

The printing head 5004 of this embodiment comprises two nozzle arrays that eject ink in near equal amounts for each of the colors cyan (C), magenta (M), yellow (Y) and black (K), and prints an image on a printing medium using both of these nozzle arrays. By doing so, it is possible to reduce density unevenness or stripes caused by variation of each individual nozzle by nearly ½. In addition, by arranging the nozzle arrays for each color as in this embodiment such that they are symmetrical with respect to the main scanning direction, it is possible to keep the order of applying ink to the printing medium fixed when performing printing in the forward direction as well as when performing printing in the backward direction. In other words, regardless of whether the printing direction is the forward or backward direction, the order of applying ink to the printing medium is C→M→Y→K→K→Y→M→C, and even though printing is performed in both directions, there is no color unevenness due to the order of applying ink.

Furthermore, it is possible for the printer of this embodiment to execute multi-pass printing, so the area that the printing head 5004 can print in one printing scan gradually forms an image in steps by performing printing scans a plurality of times. When doing this, by performing the conveying operation for an amount that is less than the width ‘d’ of the printing head 5004 between each printing scan, it is possible to further reduce density unevenness and stripes caused by variation of individual nozzles. Whether or not to perform multi-pass printing, or the number of multi-passes (number of times printing scanning is performed for the same area) can be suitably set according to information that was inputted by the user from the control panel 1010 or according to image information that was received from the host device.

Next, an example of multi-pass printing that can be executed by the printing apparatus described above will be explained using FIG. 11. Here, 2-pass printing will be explained as an example of multi-pass printing; however, the present invention is not limited to 2-pass printing, and M (M being an integer equal to 2 or greater) pass printing is possible where M could be 3 passes, 4 passes, 8 passes, 16 passes and the like. The ‘M (M being an integer equal to 2 or greater) pass mode’ that is preferably applied in the present invention, is a mode in which printing is performed over the same area of a printing medium by printing scanning M times by a printing element group, with the printing medium being conveyed an amount that is less than the width of the placement range of print elements between each pass. In this kind of M-pass mode, the amount that the printing medium is conveyed each time is preferably set to an amount that corresponds to 1/Mth the width of the placement range of the print elements, and by performing this kind of setting, the width in the conveying direction of the same area described above becomes equal to the width corresponding to the amount that the printing medium is conveyed each time.

FIG. 11 is a diagram that schematically illustrates the state of 2-pass printing, and illustrates the relative positional relationship between the printing head 5004 and printing area when printing in first to fourth printing areas that correspond to four same areas. In FIG. 11, only one nozzle array (printing element group) 51 of a certain color is shown among those of the printing head 5004 illustrated in FIG. 5. Moreover, hereafter, of the plurality of nozzles (print elements) of a nozzle array (printing element group) 51, the nozzle group that is positioned up-line in the conveying direction is called up-line nozzle group 105A, and the nozzle group that is positioned down-line in the conveying direction is called down-line nozzle group 105B. Also, the width in the sub scanning direction (conveying direction) of each same area (each printing area) is equal to a width (640 nozzle width) that corresponds to approximately half the width (1280 nozzle width) of the placement range of the plurality of print elements of the printing head.

In the first scan, a part of the image to be printed in the first printing area is printed using the up-line nozzle group 105A. In the image data that is printed by this up-line nozzle group 105A, the gradation value of the original image data (multi-valued image data that corresponds to the image to be finally printed in the first printing area) is reduced to approximately ½ for each individual pixel. After printing in this kind of first scan is finished, the printing medium is conveyed in the Y direction a distance equal to the amount of 640 nozzles.

Next, in the second scan, a part of the image to be printed in the second printing area is printed using the up-line nozzle group 105A, and the image that is to be printed in the first printing area is completed using the down-line nozzle group 105B. In the image data that is printed by this down-line nozzle group 105B as well, the gradation value of the original image data (multi-valued image data that corresponds to the image to be finally printed in the first printing area) is reduced to approximately ½. By doing so, image data for which the gradation value has been reduced to approximately ½ is printed in the first printing area two times, so the gradation value of the original image data is saved. After printing in this kind of second scan is finished, the printing medium is conveyed in the Y direction just a distance equal to the amount of 640 nozzles.

Next, in a third scan, a part of the image that is to be printed in the third printing area is printed using the up-line nozzle group 105A, and the image that is to be printed in the second printing area is completed using the down-line nozzle group 105B. After this, the printing medium is conveyed in the Y direction just a distance that equals the amount of 640 nozzles. Finally, in the fourth scan, a part of the image to be printed in the fourth printing area is printed using the up-line nozzle group 105A, and the image that is to be printed in the third printing area is completed using the down-line nozzle group 105B. After this, the printing medium is conveyed in the Y direction just a distance equal to the amount of 640 nozzles. The printing operation is similarly performed for other printing areas. By repeating the main printing scan and conveying operation as described above, 2-pass printing is performed for all printing areas.

Incidentally, when performing this kind of multi-pass printing over all areas of the printing medium, the nip state of the conveying roller 5001 and discharging roller 5005 is different at the front edge portion, center portion and rear edge portion of the printing medium. In addition, when printing moves from the front edge portion to the center portion, and when printing moves from the center portion to the rear edge portion, unexpected conveying error of several tens of μm may occur due to impact that occurs when the edge portions of the printing medium enters into the nip section of the discharging roller or separates from the nip section of the conveying roller. In that case, in printing scanning that is before and after this conveying operation, it becomes easy for the dot groups to be printed on the printing medium to shift (shift between planes). That is, in the area where changing from the center portion to the front edge portion or rear edge portion, there is a tendency for adverse effects, such as a change in density compared with other areas, to easily occur.

Embodiments of the present invention that use the printing apparatus described above will be explained below.

Embodiment 1

FIG. 6 is a block diagram for explaining image processing when performing multi-pass printing to complete an image in the same area of the printing medium by performing printing scanning two times as illustrated in FIG. 11. In this embodiment, the control unit 3000 comprises a multi-valued image data input unit 61, a color conversion/image data division unit 62, gradation correction processing units 63-1, 63-2, and quantization processing units 65-1, 65-2. On the other hand, the printer engine 3004 comprises binary data division processing units 67-1, 67-2.

RGB multi-valued image data (256 values) is input from an external device by way of the multi-valued image data input unit 61. For each pixel, the color conversion/image data division unit 62 converts this input image data (multi-value RGB data) to two groups of multi-valued image data (multi-value density data) for a first printing scan and second printing scan that correspond to each ink color (CMYK). More specifically, a three-dimensional lookup table is provided beforehand in the color conversion/image data division unit 62 in which the RGB values, the CMYK values (C1, M1, Y1, K1) for the first scan and the CMYK values (C2, M2, Y2, K2) for the second scan are correlated one-on-one. In addition, by using this three-dimensional lookup table (LUT), the RGB data is converted to multi-value density data (C1, M1, Y1, K1) for the first scan, and multi-value density data (C2, M2, Y2, K2) for the second scan at once. When doing this, it is also possible to calculate output values for input values that are separated from the table grid point values by performing interpolation from the surrounding table grid point output values.

In this way, the color conversion/image data division unit 62 performs the role of a data generation means that generates multi-value data (C1, M1, Y1, K1) for the first scan and multi-value data (C2, M2, Y2, K2) for the second scan based on input image data that corresponds to a pixel. In other words, the color conversion/image data division unit 62 can be achieved by a data conversion process the uses one LUT to perform two roles, that of the conventional palette conversion processing 12 and image data distributing processing 14 explained using FIG. 10.

Multi-value data for a first scan and multi-value data for a second scan that are generated in this way undergo a gradation correction process by the gradation correction processing units 63-1 and 63-2 for each color. Here, signal value conversion of the multi-value data is performed so that the relationship between the signal values of the multi-value data and the density value that is expressed on the printing medium is a linear relationship. As a result, multi-value data 64-1 (C1′, M1′, Y1′, K1′) for a first scan and multi-value data 64-2 (C2′, M2′, Y2′, K2′) for a second scan are obtained. The following processing is performed in parallel and independently for each color cyan (C), magenta (M), yellow (Y) and black (K), so the following explanation will be just for the color black (K).

The quantization processing unit 65-1 performs binarization processing (quantization processing) on the multi-value data 64-1 (K1′) for the first scan, and generates binary data K1″ (first quantized data) 66-1 for the first scan. Moreover, the quantization processing unit 65-2 performs binarization processing (quantization processing) on the multi-value data 64-2 (K2′) for the second scan, and generates binary data K2″ (second quantized data) 66-2 for the second scan. In this embodiment, the quantization method that is employed by the two quantization processing units 65-1 and 65-2 is a typical error diffusion method.

When doing this, pixels for which dots are printed by both scans and pixels for which dots are printed by only one scan are adequately mixed, so it is preferred that different diffusion matrices be used for these two error diffusion processes. For example, the first quantization processing unit 65-1 uses the diffusion matrix illustrated in FIG. 13A, and the second quantization processing unit 65-2 uses the diffusion matrix illustrated in FIG. 13B. For pixels for which both the results of the two quantization processes described above, when K1″ and K2″ are ‘1’, dots are overlapped and printed, and when both of the results K1″ and K2″ are ‘0’, dots are not printed for that pixel. Also, when either one of the results K1″ or K2″ is ‘1’, only one dot is printed for that pixel.

When binary image data K1″ and K2″ are obtained from the quantization processing units 65-1 and 65-2, the data K1″ and K2″ are respectively sent via an IEEE 1284 bus 3022 to the printer engine 3004 illustrated in FIG. 3. The printer engine 3004 executes the following processing.

The printer engine 3004 divides the binary image data K1″ (66-1) and K2″ (66-2) into binary data that corresponds to the two nozzle arrays 54 and 55 illustrated in FIG. 20. That is, a first scan binary data division processing unit 67-1 divides the binary image data K1″ (66-1) for the first scan into binary data 68-1 for the first scan by the first nozzle array, and binary data 68-2 for the first scan by the second nozzle array. Moreover, a second scan binary data division processing unit 67-2 divides the binary image data K2″ (66-2) for the second scan into binary data 68-3 for the second scan by the first nozzle array, and binary data 68-4 for the second scan by the second nozzle array.

Here, the first scan binary data division processing unit and second scan binary data division processing unit will be explained in detail. In this embodiment, the first scan binary data division processing unit 67-1 and second scan binary data division processing unit 67-2 execute division processing by using a mask that is stored in advance in memory (ROM E1004). The mask is preset aggregation of data that indicates for each individual pixel whether printing binary image data is allowed (1) or not allowed (0), and divides the binary image data described above by performing a logical AND operation with each binary image data 1.

In the case of dividing the binary image data into N divisions, generally N number of masks are used, and in this embodiment where the binary image data is divided into two divisions, two masks 1801, 1802 as illustrated in FIG. 8 are used. These two masks have a complementary relationship with each other, so the binary data that are divided by these masks do not overlap each other. Therefore, the probability that dots that are printed by different nozzle arrays will overlap each other on paper is kept low, so when compared with controlling the rate of overlap of dots that is performed between printing scans described above, it is more difficult for graininess to occur. In FIG. 8, portions indicated in black are data for which printing of image data is allowed (1: data that does not mask image data), and portions indicated in white are data for which print image data is not allowed (0: data that masks image data).

The first scan binary data division processing unit and second scan binary data division processing unit perform division processing using this kind of mask 1801, 1802. More specifically, the first scan binary data division processing unit 67-1 generates binary data 68-1 for the first nozzle array by performing a logical AND operation for the binary data K1″ (66-1) and the mask 1801 for each pixel. Similarly, the first scan binary data division processing unit 67-1 generates binary data 68-2 for the second nozzle array by performing a logical AND operation for the binary data K1″ (66-1) and the mask 1802 for each pixel. On the other hand, the second scan binary data division processing unit 67-2 generates binary data 68-3 for the first nozzle array by performing a logical AND operation for the binary data K2″ (66-2) and the mask 1801 for each pixel. Similarly, the second scan binary data division processing unit 67-2 generates binary data 68-4 for the second nozzle array by performing a logical AND operation for the binary data K2″ (66-2) and the mask 1802 for each pixel. Here, the first scan binary data division processing unit 67-1 and second scan binary data division processing unit 67-2 use a set of the same mask patterns 1801 and 1802; however they can also use a set of different mask patterns.

After that, all of the binary image data (68-1 to 68-4) is stored in buffers (69-1 to 69-4) that are prepared for each corresponding scan of the corresponding nozzle array. In addition, after the necessary amount of binary image data is stored in each of the buffers, the printing operation is executed according to the data stored in the corresponding buffer.

In the following, the image processing explained using FIG. 6 will be explained in more detail using FIG. 12. FIG. 12 is a diagram of a detailed example of the image processing illustrated in FIG. 6. Here, the case is explained in which processing is performed for input image data 141 that corresponds to 4 pixels×4 pixels for a total of 16 pixels. Reference codes A to P indicate combinations of RGB values corresponding to each pixel of input image data 141. Reference codes A1 to P1 indicate combinations of CMYK values corresponding to each pixel of multi-valued image data 142 for the first scan. Reference codes A2 to P2 indicate combinations of CMYK values corresponding to each pixel of multi-value image data 143 for the second scan.

In the figure, the multi-valued image data 142 for the first scan corresponds to the multi-value data 64-1 for the first scan in FIG. 6, and the multi-valued image data 143 for the second scan corresponds to the multi-value data 64-2 for the second scan in FIG. 6. Moreover, the quantized data 144 for the first scan corresponds to the binary data 66-1 for the first scan in FIG. 6, and the quantized data 145 for the second scan corresponds to the binary data 66-2 for the second scan in FIG. 6. Furthermore, the quantized data 146 for the first scan that corresponds to the first nozzle array corresponds to the binary data 68-1 in FIG. 6, and the quantized data 147 for the first scan that corresponds to the second nozzle array corresponds to the binary data 68-2 in FIG. 6. In addition, the quantized data 148 for the second scan that corresponds to the first nozzle array corresponds to the binary data 68-3 in FIG. 6, and the quantized data 149 for the second scan that corresponds to the second nozzle array corresponds to the binary data 68-4 in FIG. 6.

First, the input image data 141 (RGB data) is input to the color conversion/image data division unit 62 in FIG. 6. After that, the color conversion/image data division unit 62 uses the three-dimensional LUT to convert the input image data 141 (RGB data) to multi-valued image data 142 (CMYK data) for the first scan, and to multi-valued image data 143 (CMYK data) for the second scan for each pixel. For example, when the RGB values for the input image data indicated by the reference code A is (R, G, B)=(0, 0, 0), the CMYK values of the multi-valued image data 142 that is indicated by reference code A1 is (C1, M1, Y1, K1)=(0, 0, 0, 128). Moreover, the CMYK values for the multi-valued image data 143 that is indicated by the reference code A2 is (C2, M2, Y2, K2)=(0, 0, 0, 127). In this way, the color conversion/image data division unit 62 generates two multi-valued image data (142 and 143) corresponding to two scans based on the input image data 141. The processing after this (gradation correction processing, quantization processing, mask processing) is performed in parallel and independently for each CMYK color, so in the following, for convenience of the explanation, only an explanation for the color black (K) will be presented, and an explanation for the other colors will be omitted.

Multi-valued image data (142) for the first scan that was obtained as described above is input to the first quantization means 65-1 in FIG. 6, and that first quantization 65-1 unit performs an error diffusion process to generate quantized data (144) for the first scan. On the other hand, multi-valued image data (143) for the second scan is input to the second quantization processing unit 65-2, and the second quantization processing unit 65-2 performs an error diffusion process to generate quantized data (145) for the second scan. At this time, when performing the error diffusion process on the multi-valued image data 142 for the first scan, the error diffusion matrix A that is illustrated in FIG. 13A is used. In addition, when performing the error diffusion process on the multi-valued image data 143 for the second scan, the error diffusion matrix B that is illustrated in FIG. 13B is used. In the figure, of the quantized data (144, 145) for the first and second scan, data having the value ‘1’ is data that indicates printing of dots (ink ejection), and data having the value ‘0’ is data that indicates no printing of dots (no ink ejection).

Next, the first scan binary data division processing unit 67-1 divides the quantized data 144 for the first scan using a mask, and generates quantized data 146 for the first scan that corresponds to the first nozzle array, and quantized data 147 for the first scan that corresponds to the second nozzle array. More specifically, by thinning out the quantized data 144 for the first scan by using the mask 1801 in FIG. 8, quantized data 146 for the first scan that corresponds to the first nozzle array is obtained. Also, by thinning out the quantized data 144 for the first scan by using the mask 1802 in FIG. 8, quantized data 147 for the first scan that corresponds to the second nozzle array is obtained. On the other hand, the second scan binary data division processing unit 67-2 divides the quantized data 145 for the second scan using a mask, and generates quantized data 148 for the second scan that corresponds to the first nozzle array, and quantized data 149 for the second scan that corresponds to the second nozzle array. More specifically, by thinning out the quantized data 145 for the second scan by using the mask 1801 in FIG. 8, quantized data 148 for the second scan that corresponds to the first nozzle array is obtained. Also, by thinning out the quantized data 145 for the second scan by using the mask 1802 in FIG. 8, quantized data 149 for the second scan that corresponds to the second nozzle array is obtained.

Incidentally, in this embodiment, binary data for the same scan that corresponds to the two nozzle arrays is generated using two mask patterns that are in a complementary relationship with each other, so between nozzle arrays there is no overlapping of dots. Of course, it is possible to generate dot overlap between nozzle arrays as well as between scans; however, when a color conversion/image data division unit generates multi-value data for a plurality of nozzle array×plurality of scans, the number of data that is the object of quantization increases, and the data processing load increases. Moreover, in many printers, shift in the printing position between nozzles tends to be less than the shift in the printing position between scans, so dot overlap rate control is not applied between nozzle arrays, and it is difficult for density unevenness due to density fluctuation to occur. For this reason, in this embodiment, multi-value data is generated for just the number of multi-passes, and between nozzle arrays, dots are distributed by mask patterns having a complementary relationship.

With the embodiment explained above, input image data (RGB data) is converted to a plurality of multi-value density data (CMYK) that corresponds to different scans at once, and after that, binarization processing is executed for each respective multi-value data. By doing this, locations where there is dot overlap during a plurality of printing scans (pixels for where there is a ‘1’ between both planes) are allowed to occur to a certain extent, and an image that is resistant to density fluctuation is obtained, as well as it is possible to suppress the load and processing time during data conversion processing.

Embodiment 2

In the first embodiment described above, construction was explained in which a color conversion/image data division unit 62 generated multi-value density data for a plurality of printing scans with no bias. However, in this method, the graininess of the image may become worse depending on the state of the image data.

For example, from the aspect of reducing graininess, as illustrated in FIG. 15A, it is ideal that in a highlight region that a few dots (1701, 1702) be uniformly dispersed while maintaining a constant distance between them. However, as illustrated in FIG. 15B, in the case of employing construction such as in the patent documents described above or in the first embodiment, irregularities in printing occur such as locations where dots overlap (1603) or locations where dots are adjacent (1601, 1602), so a cluster of these dots may cause graininess to become worse. In that case, first it can be said that performing binarization processing before dividing makes it easier to obtain a dot arrangement as illustrated in FIG. 15A.

In other words, taking both density unevenness and graininess into consideration, it is preferred that the percentage of overlapping dots (dot overlap rate) be adjustable according to which of the two will take precedence. In the following, the relationship between the dot overlap rate and density unevenness and graininess will be explained in detail.

<Relationship Between Dot Overlap Rate Control and Density Unevenness and Graininess>

As was described in the section on related art, when dots to be printed in different scans or different printing element groups shift and overlap, density fluctuation occurs in the image, and this is known as density unevenness. Therefore, in the present invention, some dots that are to overlap and be printed in the same position (same pixel or same sub pixel) are prepared in advance, and when printing position displacement occurs, adjacent dots overlap each other and blank regions increase; however, the overlapping dots separate from each other and reduce blank areas. By doing so, the increase and decrease in blank areas due to printing position displacement, or in other words, the increase or decrease in density balance each other out, so it can be expected that the change in density of the overall image will be suppressed.

However, preparing overlapping dots beforehand is also related to worsening of the graininess. For example, when printing N number of dots while overlapping all of the dots two at a time, the number of locations where dots are printed becomes N/2, and when compared with the case when no dots are overlapped, the spacing between dots increases. Therefore, the spatial frequency in an image in where all of the dots are overlapping moves toward the low frequency side more than an image in which there are no overlapping dots. Generally, the spatial frequency of an image that is printed by an inkjet printing apparatus includes from the low frequency region, in which human visual characteristics respond relatively sensitively, to the high frequency region, in which, visual characteristics become relatively insensitive. Therefore, moving the printing period of dots to the low frequency side is linked to adversely affecting the image by causing a perception of graininess.

In other words, when dispersion of dots is increased in order to suppress graininess (the dot overlap rate is kept low), robustness is lost, and when the dot overlap rate is increased in order to emphasize robustness, graininess becomes a problem, so completely avoiding both at the same time becomes difficult.

However, both the change in density and graininess described above have, to a certain extent, an allowable range (range in which, due to human visual characteristics, visual perception is difficult). Therefore, by adjusting the dot overlap rate such that both are kept within their respective allowable range, it can be expected that an image with no distinguishable adverse effects will be output. However, the allowable ranges described above, the dot diameter and the dot arrangement change depending on various conditions such as the type of ink, the type of printing medium or the density data values, so a suitable dot overlap rate may not always be a fixed value. Therefore, it is preferred that construction be such that the dot overlap rate can be more aggressively controlled, and that the dot overlap rate be adjusted according to various conditions.

Here, the ‘dot overlap rate’ will be explained. The ‘dot overlap rate’, as illustrated in FIGS. 7A to 7H and in FIG. 19 that will be described later, is the percentage of dots (overlapping dots) that are printed and overlapped in the same position by different scans or different printing element groups among the total number of dots which are to be printed in a unit area made up of K (K is an integer 1 or greater) number of pixel areas. Here, the same position means the same pixel position in the case of FIGS. 7A to 7H, and is the sub pixel position in the case of FIG. 19.

In the following, the dot overlap rate of a first plane and second plane that correspond to a unit area comprising 4 pixels (main scan direction)×3 pixels (sub scan direction) will be explained using FIGS. 7A to 7H. The ‘first plane’ indicates a collection of binary data that corresponds to a first scan or first nozzle group, and the ‘second plane’ is a collection of binary data that corresponds to a second scan or second nozzle group. Also, ‘1’ is data that indicates printing of a dot, and ‘0’ is data that indicates no printing of a dot.

In FIGS. 7A to 7E, the number of 1s in the first plane is ‘4’, and the number of 1s in the second plane is also ‘4’, therefore the total number of dots to be printed in a unit area comprising 4 pixels×3 pixels is ‘8’. On the other hand, the number of 1s in the first plane and second plane that correspond to the same pixel position is the number of dots (overlapping dots) that are to overlap and be printed in the same pixel. According to this definition, the number of overlapping dots is ‘0’ in FIG. 7A, is ‘2’ in FIG. 7B, is ‘4’ in FIG. 7C, is ‘6’ in FIG. 7D and is ‘8’ in FIG. 7E. Therefore, as illustrated in FIG. 7H, the dot overlap rates of FIGS. 7A to 7E are 0%, 25%, 50%, 75% and 100%, respectively.

Furthermore, FIG. 7F and FIG. 7G illustrate cases in which the number of printed dots and total number of dots in a plane differ from the cases in FIGS. 7A to 7E. FIG. 7F illustrates the case in which the number of printed dots in the first plane is ‘4’, the number of printed dots in the second plane is ‘3’, the total number of dots is ‘7’, the number of overlapping dots is ‘6’ and the dot overlap rate is 86%. On the other hand, FIG. 7G illustrates the case in which the number of printed dots in the first plane is ‘4’, the number of printed dots in the second plane is ‘2’, the total number of dots is ‘6’, the number of overlapping dots is ‘2’ and the dot overlap rate is 33%.

In this specification, the ‘dot overlap rate’ is the overlap rate of dot data when dot data that corresponds to different scans or different printing element groups virtually overlap, and does not indicate the area ratio or percentage of overlapping dots on paper.

In the following, an image processing method for controlling the dot overlap rate will be explained. In this embodiment as well, as in first embodiment, it is possible to employ the block diagram explained in FIG. 6.

Table 1 gives the distribution rates at which the color conversion/image data division processing unit 62 divides data into multi-value data for the first scan and multi-value data for the second scan, and gives the dot overlap rates for the first scan and second scan when typical error diffusion processing is performed for the respective multi-value data as described in the first embodiment. The ‘ink printing rate’ (%) corresponds to the number of dots of one color of ink that are printed per unit area, and is 0% when no dots printed per unit area, and is 100% when the maximum number of dots are printed per unit area. Therefore, for example, a printing rate of 60% indicates that a number of dots corresponding to 60% of the maximum number of dots are printed per unit area. In Table 1, this kind of ink printing rate is indicated in ten levels from 0 to 100%. As will be described later, this ink printing rate (0 to 100%) is correlated with the total value of the multi-value density data (0 to 255) for the same color that corresponds to different scans, and the greater the value of the ink printing rate becomes, the greater the total value of the multi-value density data becomes. Moreover, the ‘ink distribution rate (%)’ indicates the ratio of the density data value for each scan with respect to the total multi-value density data value (ink printing rate) for the same color that corresponds to a plurality of scans, and the total distribution rate is 100%. In this way, the ink distribution rate corresponds to the ratio (distribution ratio) of the density data value of a plurality of same colors (for example, C1:C2) after the input image data (RGB) has been converted. For example, a case is possible in which the total value of a plurality of density data that corresponds to a plurality of scans is 128 (50% printing rate), the density data value for the first scan is 64 (25% printing rate), and the density data value for the second scan is also 64 (25% printing). In this case, the distribution rate for the first scan and the second scan is 50% each and the ratio of the first density data value for the first scan and the second density data value for the second scan is 1:1. In Table 1, this kind of distribution rate is indicated in 6 levels. Also, the dot overlap rate as a result of binarization processing by a typical error diffusion method corresponding to the conditions of the distribution rate and ink printing rate is indicated in each column of Table 1.

TABLE 1 Distribution rate (%) Printing rate (%) First scan Second scan 10 20 30 40 50 60 70 80 90 100 100 0 0 0 0 0 0 0 0 0 0 0 90 10 1.8 3.6 5.4 7.2 9 10.8 12.6 14.4 16.2 18 80 20 3.2 6.4 9.6 12.8 16 19.2 2.4 25.6 28.8 32 70 30 4.2 8.4 12.6 16.8 21 25.2 29.4 33.6 37.8 42 60 40 4.8 9.6 14.4 19.2 24 28.8 33.6 38.4 43.2 48 50 50 5 10 15 20 25 30 35 40 45 50

FIG. 9 is Table 1 that has been put into graph form. In the figure, the ink printing rate is shown along the horizontal axis, and the dot overlap rate is shown along the vertical axis. Regarding each distribution rates of the 6 levels presented in Table 1, the dot overlap rate with respect to the printing rate are represented by different slope straight lines over.

For example, in the case of a distribution rate of 100% for the first printing scan, and 0% distribution rate for the second printing scan, all of the multi-value data is printed in just the first printing scan. Therefore, there is no dot overlap, and even though the printing rate increases, the dot overlap rate remains at 0%. As the distribution rate for the second printing scan is gradually increased, the slope of the dot overlap rate with respect to the printing rate gradually increases. When the distribution rate for both the first printing scan and the second printing scan is 50%, the slope of the dot overlap rate with respect to printing rate becomes a maximum, and when the printing rate is 100%, the dot overlap rate becomes 50%. Therefore, by acquiring the dot overlap rate with respect to the printing rate as illustrated in Table 1 and FIG. 9, it is possible to achieve a desired dot overlap rate by adjusting the distribution rate.

Incidentally, of the entire range of ink printing rates (0% to 100%), in nearly halftone areas, or in other words, areas where dots are printed for nearly half of the number of pixels, change in the dot overlap state easily affects the dot coverage on the paper. Therefore, it is easy for problems, particularly density unevenness, to occur in medium density areas such as this, and it is preferred that the dot overlap rate be set higher than other density areas (low density areas, high density areas). On the other hand, in low density areas where density unevenness does not become a problem easily, reducing graininess takes precedence over density unevenness, so it is preferred that the dot overlap rate be set low. In addition, in high density areas, increasing density takes precedence over reducing the density unevenness, so it is preferred that the dot overlap rate be set low.

The heavy line 311 in FIG. 9, represents the state of adjusting the dot overlap rate according to the printing rate given in Table 1 (in other words, the total value of a plurality of multi-value density data that corresponds to different scans). In this embodiment, in low density areas up to a printing rate of 20%, the dot overlap rate is taken to be 0%, in medium density areas where the printing rate is 20 to 60%, the dot overlap rate gradually increases to 30%, and in high density areas where the printing rate is 60% or greater, the dot overlap rate gradually drops to 20% or less. In order to achieve this kind of dot overlap rate, for a printing rate of 0 to 20%, the distribution rates are taken to be 100% and 0%, and when the printing rate is 20 to 60%, the distribution rates are gradually changed until they become 50% and 50%. The distribution rates are taken to be 50% and 50% such that the dot overlap rate becomes maximum (30%) at the printing rate of 60%. Moreover, in high density areas where the printing rate is 60 to 100%, the distribution rates are gradually changed until they become 90% and 10%. In this way, in this embodiment, the distribution rate is changed according to the printing rate in order to optimally set the dot overlap rate for each density area. More specifically, in order that the dot overlap rate in medium density areas, where there is the greatest possibility of density unevenness, is higher than in low density areas and high density areas, the bias of the ratio of a plurality of density data values (distribution ratio) after conversion is set such that it is lower in medium density areas than in low density areas and high density areas. In order to suppress the generation of pseudo contours, it is preferred that adjustment of the distribution rate described above be changed as smoothly as possible with respect to the change in printing rate.

Incidentally, in this embodiment, the color conversion/image data division unit 62 converts the input image data (RGB) to a plurality of density data that corresponds to a plurality of scans (plurality of CMYK sets) at once, so parameters that correspond to the ‘printing rate’ as illustrated in Table 1 and FIG. 9 are not actually used. However, there is a correlation between the total value of the plurality of density data after conversion and the printing rate, and as the total value becomes large, as a result, the printing rate after binarization becomes large. In other words, the total value of a plurality of density data for the same color that corresponds to different scans corresponds to the ‘printing rate’. Therefore, in actual processing, in the three-dimensional LUT, the input image data (RGB) and plurality of density data (plurality of CMYK sets) can be correlated such that the relationship between the total value of a plurality of density data for the same color (printing rate) and the distribution rate satisfy the relationship indicated by the graph with the heavy line in FIG. 9. Also, the color conversion/image data division unit 62 performs data conversion using this kind of LUT. By doing this, the ratio of a plurality of density data values for the same color (distribution rate) is primarily set according to the input image data that is correlated with the printing rate and total value described above, so the relationship between the printing rate and distribution rate as illustrated in FIG. 9 is satisfied without using the ‘printing rate’ parameter. Therefore, it is possible to achieve a dot overlap rate that is suitable for the printing rate given in FIG. 9. With the construction described above, the dot overlap rate for medium density areas, where there is the greatest concern of robustness, can be set higher than for low density areas and high density areas, and in all gradation areas where the priority of density unevenness and graininess changes, it is possible to output good images.

In Table 1, the color conversion/image data division processing unit 62 sets each of the distribution rates so that the sum of the distribution rates for the first printing scan and second printing scan becomes 100%; however, this embodiment is not limited to this. With the object of improving the image processing conditions and absolute density, the sum of the distribution rates for the first printing scan and second printing scan can be greater than 100%, or can be kept at less than 100%.

In the explanation above, an example was given in which the distribution rate is adjusted according to the printing rate, or in other words, the total value of a plurality of density data for the same color; however, with the construction of the present invention, even when the printing rates of a certain ink color are equal, the distribution rate can be adjusted according to the RGB balance that brings about that printing rate. For example, even though the printing rates for cyan are the same, when expressing the color of blue sky, or when expressing a dark gray, the density unevenness or graininess stands out differently, and in the case of expressing the color of blue sky, it becomes easier for density unevenness to stand out. In other words, even though the printing rates of cyan are the same, the priority of unevenness and graininess differ according to the printing rates of other colors or the balance thereof, in other words the RGB coordinates.

Table 2 illustrates the case of making the distribution rates of input image data that expresses the color of blue sky (R=200, G=255, B=255), and input image data that expresses dark gray (R=50, G=50, B=50) different. The printing rate for cyan for both colors is 50%; however, it can be seen that in the case of the color of blue sky in which density unevenness stands out more, in order to increase the dot overlap rate, the bias of the distribution rate is decreased.

TABLE 2 Cyan ink printing rate (%) First scan Second scan Total Dot overlap rate Blue sky color 25 25 50 25 Dark gray 15 35 50 21

With the construction of this embodiment, for colors that are expressed by each of the RGB coordinates, in order that suitable distribution rates are obtained according to whether the density unevenness or graininess takes precedence, it is possible to prepare a LUT that correlates the RGB coordinates with the multi-value CMYK data. By doing this, the dot overlap rate of colors for which there is a concern about robustness can be set higher than for other colors, so in all color spaces in which the priority of density unevenness and graininess changes, it is possible to output good images.

With the embodiment explained above, by changing the ratio of a plurality of density data (distribution rates) for the same color that correspond to a plurality of scans according to the input image data (RGB), it is possible to obtain dot overlap rates that are suitable to the colors expressed by the input image data. By doing so, it is possible to obtain the same advantage of the first embodiment of reducing processing, as well as it is possible to obtain a high-quality image output having excellent robustness, low graininess, and adequate density for all gradation areas of ink color and all areas of RGB color spaces.

Embodiment 3

In this embodiment, as in the second embodiment, the dot overlap rate is adjusted in order to suppress density fluctuation and keep graininess low. However, in this embodiment, the color conversion/image data division unit does not change the distribution rates, but rather the dot overlap rate is adjusted by providing features to the quantization processing unit.

FIG. 21 is a block diagram for explaining image processing when performing multi-pass printing to complete an image in the same area of the printing medium by two printing scans as illustrated in FIG. 11. Here, the processing of 21 to 25 in the figure is performed on the image data that was input from an image input device such as a digital camera 3012 by the control unit 3000 that was explained in FIG. 3, and the processing of 27-1 and 27-2 and later is performed by the printer engine 3004. The control unit 3000 comprises a multi-valued image data input unit 21, color conversion/image data division unit 22, gradation correction processing units 23-1, 23-2 and quantization processing unit 25 that are illustrated in FIG. 21. On the other hand, the printer engine 3004 comprises binary data division processing units 27-1, 27-2.

A multi-valued image data input unit 21 inputs RGB multi-valued image data (256 values) from an external device. A color conversion/image data division unit 22 converts this input image data (multi-value RGB data) to multi-value data for a first scan and multi-value data for a second scan at once and gradation correction processing units 23-1 and 23-2 perform gradation correction. By doing this, multi-value data 24-1 for a first scan and multi-data 24-2 for a second scan are obtained. The construction of the color conversion/image data division unit and gradation correction processing unit is the same as in the embodiments described above.

The quantization processing unit 25 performs a binarization process (quantization process) on the both the multi-value data 24-1 for the first scan (first multi-value density data K1′) and multi-value data 24-2 for the second scan (second multi-value density data K2′). In other words, the multi-value data is converted (quantized) to either ‘0’ or ‘1’, and becomes binary data K1″ for the first scan (first quantized data) 26-1 and K2″ for the second scan (second quantized data) 26-2. When doing this, dots are overlapped and printed for pixels for which both K1″ and K2″ are ‘1’, and no dots are printed for pixels for which both K1″ and K2″ are ‘0’. In addition, only one dot is printed for pixels for which only one of K1″ and K2″ is ‘1’.

The processing that is executed by the quantization processing unit 25 will be explained using the flowchart of FIG. 16. In this flowchart, K1′ and K2′ are input multi-value data for a target pixel and have a value 0 to 255. In addition, K1 err and K2 err are accumulated error values that are generated from surrounding pixels for which quantization processing has already ended, and K1 ttl and K2 ttl are total values of the input multi-value data and accumulated error values. Furthermore, K1″ and K2″ are binary quantized data for the first printing scan and second printing scan.

In this embodiment, the threshold values (quantization parameters) that are used when setting the values K1″ and K2″, which are binary quantized data, differ according to the values of K1 ttl and K2 ttl. Therefore, a table in which threshold values are primarily set according to the values K1 ttl and K2 ttl is prepared in advance. Here, the threshold value that is compared with K1 ttl when setting K1″ is taken to be K1table [K2 ttl], and the threshold value that is compared with K2 ttl when setting K2″ is taken to be K2table [K1 ttl]. The value K1table [K2 ttl] is a value that is set according to the value of K2 ttl, and the value K2table [K1 ttl] is a value that is set according to the value K1 ttl.

When this process is started, first, K1 ttl and K2 ttl are calculated in step S21. Next, in step S22, by referencing a threshold value table such as Table 3 below, the two threshold values K1table [K2 ttl] and K2table [K1 ttl] are acquired from the values K1 ttl and K2 ttl that were found in step S21. The threshold value K1table [K2 ttl] is set by using the value K2 ttl as the ‘ reference value’ in the threshold value table of Table 3. On the other hand, the threshold value K2table [K1 ttl] is set by using the value K1 ttl as the ‘reference value’ in the threshold value table of Table 3.

Next, the value of K1″ is set in steps S23 to S25, and the value of K2″ is set in steps S26 to S28. More specifically, in step S23, whether or not the value K1 ttl that was calculated in step S21 is equal to or greater than the threshold value K1table [K2 ttl] that was acquired in step S22 is determined. When it is determined that the value K1 ttl is equal to or greater than the threshold value, the value is taken to be K1″=1, and the accumulated error value K1 err (=K1 ttl−255) is calculated and updated according to this output value (K1″=1) (step S25). On the other hand, when it is determined that the value K1 ttl is less than the threshold value, the value is taken to be K1″=0, and the accumulated error value K1 err (=K1 ttl) is calculated and updated according to this output value (K1″=0) (step S24).

Continuing, in step S26, whether or not the value K2 ttl that was calculated in step S21 is equal to or greater than the threshold value K2table [K1 ttl] that was acquired in step S22 is determined. When it is determined that the value K2 ttl is equal to or greater than the threshold value, the value is taken to be K2″=1, and the accumulated error value K2 err (=K2 ttl−255) is calculated and updated according to this output value (K2″=1) (step S28). However, when it is determined that the value K2 ttl is less than the threshold value, K2″ is taken to be K2″=0, and the accumulated error value K2 err (=K2 ttl) is calculated and updated according to this output value (K2″=0) (step S27).

After that, in step S29, the updated accumulated error values K1 err and K2 err are diffused in the surrounding pixels for which quantization has not yet been performed according to the error diffusion matrices illustrated in FIGS. 13A and 13B. In this embodiment, the error diffusion matrix that is illustrated in FIG. 13A is used for diffusing the accumulated error value K1 err in the surrounding pixels, and the error diffusion matrix illustrated in FIG. 13B is used for diffusing the accumulated error value K2 err in the surrounding pixels.

In this embodiment, a threshold value (quantization parameter) that is used for performing quantization processing for multi-value data (K1 ttl) that corresponds to the first scan is set in this way based on multi-value data (K2 ttl) that corresponds to the second scan. Similarly, a threshold value (quantization parameter) that is used for performing quantization processing for multi-value data (K2 ttl) that corresponds to the second scan is set based on multi-value data (K1 ttl) that corresponds to the first scan. In other words, quantization processing of multi-value data that corresponds to one scan, and quantization processing of multi-value data that corresponds to another scan are executed based on both multi-value data that corresponds to one scan of two scans, and multi-value data that corresponds to the other scan of two scans. By doing so, it is possible to perform control so that dots from one scan are not printed as much as possible in pixels in which dots from another scan are printed, so it is possible to suppress worsening of graininess due to dot overlap.

FIG. 22A is a diagram for explaining the correlation of the result and the input values (K1 ttl and K2 ttl): the result being obtained by performing quantization processing (binarization processing) according to the flowchart of FIG. 16 described above using the threshold values that are entered in the FIG. 22A column of Table 3 below. The values K1 ttl and K2 ttl both may take on the value 0 to 255, and as illustrated in the FIG. 22A column of the threshold value table, printing (1) and no printing (0) are set with the threshold value 128 as the borderline. In the figure, point 221 is a border point between the area where no dots are printed (K1″=0 and K2″=0), and areas where two dots overlap (K1″=1 and K2″=1). In this example, the probability (in other words, the dot printing rate) that K1″=1 becomes K1′/255, and the probability that K2″=1 becomes K2′/255.

FIG. 22B is a diagram for explaining the correlation of the result and the input values (K1 ttl and K2 ttl) the result being obtained by performing quantization processing (binarization processing) according to flowchart in FIG. 16 using the threshold values entered in the FIG. 22B column of the threshold value table of Table 3 below. Point 231 is the border between the area where no dots are printed (K1″=0 and K2″=0), and areas where there is only one dot (K1″=1 and K2″=0, or K1″=0 and K2″=1). Also, point 232 is the border between an area where two dots overlap and are printed (K1″=1 and K2″=1), and areas where there is only one dot (K1″=1 and K2″=0, or K1″=0 and K2″=1). By separating points 231 and 232 by a certain distance, the areas where one dot is printed increase, and the areas where both dots are printed decrease when compared with the case of FIG. 22A. That is, the case in FIG. 22B is advantageous in that there is a higher probability that the dot overlap rate will decrease, and the graininess will be kept lower than in the case of FIG. 22A. When there is a point where the dot overlap rate changes suddenly as in the case of FIG. 22A, density unevenness may occur due to small changes in gradation; however, in the case shown in FIG. 22B, the dot overlap rate changes smoothly as the gradation changes, so that it becomes difficult for that kind of density unevenness to occur.

In the quantization processing of this embodiment, by providing various conditions for the Kttl value and the relationship between K1′ and K2′, it is possible to make various adjustments to the K1″ and K2″ values and the dot overlap rate. A few examples will be explained below using FIG. 22C to FIG. 22G. Similar to FIG. 22A and FIG. 22B described above, FIG. 22C to FIG. 22G are diagrams showing the correlation between the results (K1″ and K2″) and the input values (K1 ttl and K2 ttl): the results being obtained from performing quantization using the threshold values that are entered in the threshold value table in Table 3.

FIG. 22C is a diagram illustrating the case where the dot overlap rate is set to a value between that in the cases illustrated in FIG. 22A and FIG. 22B. Point 241 is set such that it is the middle point between point 221 in FIG. 22A and point 231 in FIG. 22B. In addition, point 242 is set such that it is the middle point between point 221 in FIG. 22A and point 232 in FIG. 22B.

FIG. 22D is a diagram illustrating the case where the dot overlap rate is reduced more than in the case illustrated in FIG. 22B. Point 251 is set to a point that externally divides point 221 in FIG. 22A and point 231 in FIG. 22B by 3:2. In addition, point 252 is set to a point that externally divides point 221 in FIG. 22A and point 232 in FIG. 22B by 3:2.

FIG. 22E illustrates the case where the dot overlap rate is increased more than in the case illustrated in FIG. 22A. In the figure, point 261 is a boundary point among an area where no dots are printed (K1″=0 and K2″=0), an area where there is only one dot (K1″=1 and K2″=0) and an area where two dots overlap and are printed (K1″=1 and K2″=1). In addition, point 262 is a boundary point among an area where no dots are printed (K1″=0 and K2″=0), an area where there is only one dot (K1″=0 and K2″=1), and an area where two dots overlap and are printed (K1″=1 and K2″=1). According to FIG. 22E, it is easy to make the transition from the area where no dots are printed (K1″=0 and K2″=0) to the area where two dots overlap and are printed (K1″=1 and K2″=1), and it is possible to increase the dot overlap rate.

FIG. 22F is a diagram that illustrates the case where the dot overlap rate is a value between that of the cases illustrated in FIG. 22A and FIG. 22E. Point 271 is set such that it is between point 221 in FIG. 22A and point 261 in FIG. 22E. In addition, point 272 is set such that it is between point 221 in FIG. 22A and point 262 in FIG. 22E.

Furthermore, FIG. 22G illustrates the case where the dot overlap rate is increased even more than the case illustrated in FIG. 22E. Point 281 is set to a point that externally divides point 221 in FIG. 22A and point 261 in FIG. 22E by 3:2. In addition, point 282 is set to a point that externally divides point 221 in FIG. 22A and point 262 in FIG. 22E by 3:2.

Next, the method of performing a quantization process that uses the threshold value table illustrated in Table 3 is explained below in more detail. Table 3 is a threshold table for acquiring the threshold values in step S22 of the flowchart explained using FIG. 16 in order to achieve the processing results illustrated in FIG. 22A to FIG. 22G.

Here, the case will be explained in which the input values (K1 ttl, K2 ttl) are (100, 120), and threshold values entered in the FIG. 22B column of the threshold table are used. First, in step S22 of FIG. 16, the threshold value K1table [K2 ttl] is found based on the threshold table illustrated in Table 3 and the value K2 ttl (reference value). When the reference value (K2 ttl) is ‘120’, the threshold value K1table [K2 ttl] becomes ‘120’. Similarly, the threshold value K2table [K1 ttl] is found based on the threshold table and value K1 ttl (reference value). When the reference value (K1 ttl) is ‘100’, the threshold value K2table [K1 ttl] becomes ‘101’. Next, in step S23 of FIG. 16, the value K1 ttl is compared with the threshold value K1table [K2 ttl], and in this case, K1 ttl (=100)<threshold value K1table [K2 ttl] (=120), so that K1″=0 (step S24). Similarly, in step S26 of FIG. 16, the value K2 ttl is compared with the threshold value K2table [K1 ttl], and in this case, K2 ttl (=120)≧threshold value K2table [K1 ttl] (=101), so K2″=1 (step S28). As a result, as illustrated in FIG. 22B, when (K1 ttl, K2 ttl)=(100, 120), (K1″, K2″)=(0, 1).

Moreover, as another example, the case in which the input values (K1 ttl, K2 ttk)=(120, 120) and the threshold values that are entered in the FIG. 22C column of the threshold table are used will be explained. In this case, the threshold value K1table [K2 ttl] becomes ‘120’, and the threshold value K2table [K1 ttl] becomes ‘121’. Therefore, K1 ttl (=120)≧threshold value K1table [K2 ttl] (=120), so that K1″=1, and K2 ttl (=120)<threshold value K2table [K1 ttl] (=121), so that K2″=0. As a result, as illustrated in FIG. 22C, when (K1 ttl, K2 ttl)=(120, 120), (K1″, K2″)=(1, 0).

With the quantization processing described above, the dot overlap rate between two scans is controlled by performing quantization of multi-value data that corresponds to each of two scans based on both of the multi-value data that corresponds to two scans. By doing so, it is possible to keep the overlap rate of dots that are printed by one scan, and the dots that are printed by another scan within a suitable range, or in other words, it is possible to keep the overlap rate within a range in which it is possible to keep in balance both high robustness and low graininess.

TABLE 3 FIG. 22 (A) FIG. 22 (B) FIG. 22 (C) FIG. 22 (D) FIG. 22 (E) FIG. 22 (F) FIG. >22 (G) K1 K2 K1 K2 K1 K2 K1 K2 K1 K2 K1 K2 K1 K2 table table table table table table table table table table table table table table 0 128 128 128 128 128 128 128 128 127 127 127 127 127 127 1 128 128 127 127 127 127 125 125 128 128 128 128 130 130 2 128 128 126 126 127 127 122 122 129 129 128 128 133 133 3 128 128 125 125 127 127 119 119 130 130 128 128 136 136 4 128 128 124 124 126 126 116 116 131 131 129 129 139 139 5 128 128 123 123 126 126 113 113 132 132 129 129 142 142 6 128 128 122 122 126 126 110 110 133 133 129 129 145 145 7 128 128 121 121 125 125 107 107 134 134 130 130 148 148 8 128 128 120 120 125 125 104 104 135 135 130 130 151 151 9 128 128 119 119 125 125 101 101 136 136 130 130 154 154 10 128 128 118 118 124 124 98 98 137 137 131 131 157 157 11 128 128 117 117 124 124 95 95 138 138 131 131 160 160 12 128 128 116 116 124 124 92 92 139 139 131 131 163 163 13 128 128 115 115 123 123 89 89 140 140 132 132 166 166 14 128 128 114 114 123 123 86 86 141 141 132 132 169 169 15 128 128 113 113 123 123 83 83 142 142 132 132 172 172 16 128 128 112 112 122 122 80 80 143 143 133 133 175 175 17 128 128 111 111 122 122 77 77 144 144 133 133 178 178 18 128 128 110 110 122 122 74 74 145 145 133 133 181 181 19 128 128 109 109 121 121 71 71 146 146 134 134 184 184 20 128 128 108 108 121 121 68 68 147 147 134 134 187 187 21 128 128 107 107 121 121 65 65 148 148 134 134 190 190 22 128 128 106 106 120 120 62 62 149 149 135 135 193 193 23 128 128 105 105 120 120 59 59 150 150 135 135 196 196 24 128 128 104 104 120 120 56 56 151 151 135 135 199 199 25 128 128 103 103 119 119 53 53 152 152 136 136 202 202 26 128 128 102 102 119 119 50 50 153 153 136 136 205 205 27 128 128 101 101 119 119 47 47 154 154 136 136 208 208 28 128 128 100 100 118 118 44 44 155 155 137 137 211 211 29 128 128 99 99 118 118 41 41 156 156 137 137 214 214 30 128 128 98 98 118 118 38 38 157 157 137 137 217 217 31 128 128 97 97 117 117 35 35 158 158 138 138 220 220 32 128 128 96 96 117 117 32 33 159 159 138 138 223 222 33 128 128 95 95 117 117 33 34 160 160 138 138 222 221 34 128 128 94 94 116 116 34 35 161 161 139 139 221 220 35 128 128 93 93 116 116 35 36 162 162 139 139 220 219 36 128 128 92 92 116 116 36 37 163 163 139 139 219 218 37 128 128 91 91 115 115 37 38 164 164 140 140 218 217 38 128 128 90 90 115 115 38 39 165 165 140 140 217 216 39 128 128 89 89 115 115 39 40 166 166 140 140 216 215 40 128 128 88 88 114 114 40 41 167 167 141 141 215 214 41 128 128 87 87 114 114 41 42 168 168 141 141 214 213 42 128 128 86 86 114 114 42 43 169 169 141 141 213 212 43 128 128 85 85 113 113 43 44 170 170 142 142 212 211 44 128 128 84 84 113 113 44 45 171 171 142 142 211 210 45 128 128 83 83 113 113 45 46 172 172 142 142 210 209 46 128 128 82 82 112 112 46 47 173 173 143 143 209 208 47 128 128 81 81 112 112 47 48 174 174 143 143 208 207 48 128 128 80 80 112 112 48 49 175 175 143 143 207 206 49 128 128 79 79 111 111 49 50 176 176 144 144 206 205 50 128 128 78 78 111 111 50 51 177 177 144 144 205 204 51 128 128 77 77 111 111 51 52 178 178 144 144 204 203 52 128 128 76 76 110 110 52 53 179 179 145 145 203 202 53 128 128 75 75 110 110 53 54 180 180 145 145 202 201 54 128 128 74 74 110 110 54 55 181 181 145 145 201 200 55 128 128 73 73 109 109 55 56 182 182 146 146 200 199 56 128 128 72 72 109 109 56 57 183 183 146 146 199 198 57 128 128 71 71 109 109 57 58 184 184 146 146 198 197 58 128 128 70 70 108 108 58 59 185 185 147 147 197 196 59 128 128 69 69 108 108 59 60 186 186 147 147 196 195 60 128 128 68 68 108 108 60 61 187 187 147 147 195 194 61 128 128 67 67 107 107 61 62 188 188 148 148 194 193 62 128 128 66 66 107 107 62 63 189 189 148 148 193 192 63 128 128 65 65 107 107 63 64 190 190 148 148 192 191 64 128 128 64 65 106 106 64 65 191 190 149 149 191 190 65 128 128 65 66 106 106 65 66 190 189 149 149 190 189 66 128 128 66 67 106 106 66 67 189 188 149 149 189 188 67 128 128 67 68 105 105 67 68 188 187 150 150 188 187 68 128 128 68 69 105 105 68 69 187 186 150 150 187 186 69 128 128 69 70 105 105 69 70 186 185 150 150 186 185 70 128 128 70 71 104 104 70 71 185 184 151 151 185 184 71 128 128 71 72 104 104 71 72 184 183 151 151 184 183 72 128 128 72 73 104 104 72 73 183 182 151 151 183 182 73 128 128 73 74 103 103 73 74 182 181 152 152 182 181 74 128 128 74 75 103 103 74 75 181 180 152 152 181 180 75 128 128 75 76 103 103 75 76 180 179 152 152 180 179 76 128 128 76 77 102 102 76 77 179 178 153 153 179 178 77 128 128 77 78 102 102 77 78 178 177 153 153 178 177 78 128 128 78 79 102 102 78 79 177 176 153 153 177 176 79 128 128 79 80 101 101 79 80 176 175 154 154 176 175 80 128 128 80 81 101 101 80 81 175 174 154 154 175 174 81 128 128 81 82 101 101 81 82 174 173 154 154 174 173 82 128 128 82 83 100 100 82 83 173 172 155 155 173 172 83 128 128 83 84 100 100 83 84 172 171 155 155 172 171 84 128 128 84 85 100 100 84 85 171 170 155 155 171 170 85 128 128 85 86 99 99 85 86 170 169 156 156 170 169 86 128 128 86 87 99 99 86 87 169 168 156 156 169 168 87 128 128 87 88 99 99 87 88 168 167 156 156 168 167 88 128 128 88 89 98 98 88 89 167 166 157 157 167 166 89 128 128 89 90 98 98 89 90 166 165 157 157 166 165 90 128 128 90 91 98 98 90 91 165 164 157 157 165 164 91 128 128 91 92 97 97 91 92 164 163 158 158 164 163 92 128 128 92 93 97 97 92 93 163 162 158 158 163 162 93 128 128 93 94 97 97 93 94 162 161 158 158 162 161 94 128 128 94 95 96 96 94 95 161 160 159 159 161 160 95 128 128 95 96 96 96 95 96 160 159 159 159 160 159 96 128 128 96 97 96 97 96 97 159 158 159 158 159 158 97 128 128 97 98 97 98 97 98 158 157 158 157 158 157 98 128 128 98 99 98 99 98 99 157 156 157 156 157 156 99 128 128 99 100 99 100 99 100 156 155 156 155 156 155 100 128 128 100 101 100 101 100 101 155 154 155 154 155 154 101 128 128 101 102 101 102 101 102 154 153 154 153 154 153 102 128 128 102 103 102 103 102 103 153 152 153 152 153 152 103 128 128 103 104 103 104 103 104 152 151 152 151 152 151 104 128 128 104 105 104 105 104 105 151 150 151 150 151 150 105 128 128 105 106 105 106 105 106 150 149 150 149 150 149 106 128 128 106 107 106 107 106 107 149 148 149 148 149 148 107 128 128 107 108 107 108 107 108 148 147 148 147 148 147 108 128 128 108 109 108 109 108 109 147 146 147 146 147 146 109 128 128 109 110 109 110 109 110 146 145 146 145 146 145 110 128 128 110 111 110 111 110 111 145 144 145 144 145 144 111 128 128 111 112 111 112 111 112 144 143 144 143 144 143 112 128 128 112 113 112 113 112 113 143 142 143 142 143 142 113 128 128 113 114 113 114 113 114 142 141 142 141 142 141 114 128 128 114 115 114 115 114 115 141 140 141 140 141 140 115 128 128 115 116 115 116 115 116 140 139 140 139 140 139 116 128 128 116 117 116 117 116 117 139 138 139 138 139 138 117 128 128 117 118 117 118 117 118 138 137 138 137 138 137 118 128 128 118 119 118 119 118 119 137 136 137 136 137 136 119 128 128 119 120 119 120 119 120 136 135 136 135 136 135 120 128 128 120 121 120 121 120 121 135 134 135 134 135 134 121 128 128 121 122 121 122 121 122 134 133 134 133 134 133 122 128 128 122 123 122 123 122 123 133 132 133 132 133 132 123 128 128 123 124 123 124 123 124 132 131 132 131 132 131 124 128 128 124 125 124 125 124 125 131 130 131 130 131 130 125 128 128 125 126 125 126 125 126 130 129 130 129 130 129 126 128 128 126 127 126 127 126 127 129 128 129 128 129 128 127 128 128 127 128 127 128 127 128 128 127 128 127 128 127 128 128 128 128 129 128 129 128 129 127 126 127 126 127 126 129 128 128 129 130 129 130 129 130 126 125 126 125 126 125 130 128 128 130 131 130 131 130 131 125 124 125 124 125 124 131 128 128 131 132 131 132 131 132 124 123 124 123 124 123 132 128 128 132 133 132 133 132 133 123 122 123 122 123 122 133 128 128 133 134 133 134 133 134 122 121 122 121 122 121 134 128 128 134 135 134 135 134 135 121 120 121 120 121 120 135 128 128 135 136 135 136 135 136 120 119 120 119 120 119 136 128 128 136 137 136 137 136 137 119 118 119 118 119 118 137 128 128 137 138 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154 128 128 154 155 154 155 154 155 101 100 101 100 101 100 155 128 128 155 156 155 156 155 156 100 99 100 99 100 99 156 128 128 156 157 156 157 156 157 99 98 99 98 99 98 157 128 128 157 158 157 158 157 158 98 97 98 97 98 97 158 128 128 158 159 158 159 158 159 97 96 97 96 97 96 159 128 128 159 160 159 160 159 160 96 95 96 95 96 95 160 128 128 160 161 160 160 160 161 95 94 95 95 95 94 161 128 128 161 162 160 160 161 162 94 93 95 95 94 93 162 128 128 162 163 159 159 162 163 93 92 96 96 93 92 163 128 128 163 164 159 159 163 164 92 91 96 96 92 91 164 128 128 164 165 159 159 164 165 91 90 96 96 91 90 165 128 128 165 166 158 158 165 166 90 89 97 97 90 89 166 128 128 166 167 158 158 166 167 89 88 97 97 89 88 167 128 128 167 168 158 158 167 168 88 87 97 97 88 87 168 128 128 168 169 157 157 168 169 87 86 98 98 87 86 169 128 128 169 170 157 157 169 170 86 85 98 98 86 85 170 128 128 170 171 157 157 170 171 85 84 98 98 85 84 171 128 128 171 172 156 156 171 172 84 83 99 99 84 83 172 128 128 172 173 156 156 172 173 83 82 99 99 83 82 173 128 128 173 174 156 156 173 174 82 81 99 99 82 81 174 128 128 174 175 155 155 174 175 81 80 100 100 81 80 175 128 128 175 176 155 155 175 176 80 79 100 100 80 79 176 128 128 176 177 155 155 176 177 79 78 100 100 79 78 177 128 128 177 178 154 154 177 178 78 77 101 101 78 77 178 128 128 178 179 154 154 178 179 77 76 101 101 77 76 179 128 128 179 180 154 154 179 180 76 75 101 101 76 75 180 128 128 180 181 153 153 180 181 75 74 102 102 75 74 181 128 128 181 182 153 153 181 182 74 73 102 102 74 73 182 128 128 182 183 153 153 182 183 73 72 102 102 73 72 183 128 128 183 184 152 152 183 184 72 71 103 103 72 71 184 128 128 184 185 152 152 184 185 71 70 103 103 71 70 185 128 128 185 186 152 152 185 186 70 69 103 103 70 69 186 128 128 186 187 151 151 186 187 69 68 104 104 69 68 187 128 128 187 188 151 151 187 188 68 67 104 104 68 67 188 128 128 188 189 151 151 188 189 67 66 104 104 67 66 189 128 128 189 190 150 150 189 190 66 65 105 105 66 65 190 128 128 190 191 150 150 190 191 65 64 105 105 65 64 191 128 128 191 192 150 150 191 192 64 63 105 105 64 63 192 128 128 191 191 149 149 192 193 64 64 106 106 63 62 193 128 128 190 190 149 149 193 194 65 65 106 106 62 61 194 128 128 189 189 149 149 194 195 66 66 106 106 61 60 195 128 128 188 188 148 148 195 196 67 67 107 107 60 59 196 128 128 187 187 148 148 196 197 68 68 107 107 59 58 197 128 128 186 186 148 148 197 198 69 69 107 107 58 57 198 128 128 185 185 147 147 198 199 70 70 108 108 57 56 199 128 128 184 184 147 147 199 200 71 71 108 108 56 55 200 128 128 183 183 147 147 200 201 72 72 108 108 55 54 201 128 128 182 182 146 146 201 202 73 73 109 109 54 53 202 128 128 181 181 146 146 202 203 74 74 109 109 53 52 203 128 128 180 180 146 146 203 204 75 75 109 109 52 51 204 128 128 179 179 145 145 204 205 76 76 110 110 51 50 205 128 128 178 178 145 145 205 206 77 77 110 110 50 49 206 128 128 177 177 145 145 206 207 78 78 110 110 49 48 207 128 128 176 176 144 144 207 208 79 79 111 111 48 47 208 128 128 175 175 144 144 208 209 80 80 111 111 47 46 209 128 128 174 174 144 144 209 210 81 81 111 111 46 45 210 128 128 173 173 143 143 210 211 82 82 112 112 45 44 211 128 128 172 172 143 143 211 212 83 83 112 112 44 43 212 128 128 171 171 143 143 212 213 84 84 112 112 43 42 213 128 128 170 170 142 142 213 214 85 85 113 113 42 41 214 128 128 169 169 142 142 214 215 86 86 113 113 41 40 215 128 128 168 168 142 142 215 216 87 87 113 113 40 39 216 128 128 167 167 141 141 216 217 88 88 114 114 39 38 217 128 128 166 166 141 141 217 218 89 89 114 114 38 37 218 128 128 165 165 141 141 218 219 90 90 114 114 37 36 219 128 128 164 164 140 140 219 220 91 91 115 115 36 35 220 128 128 163 163 140 140 220 221 92 92 115 115 35 34 221 128 128 162 162 140 140 221 222 93 93 115 115 34 33 222 128 128 161 161 139 139 222 223 94 94 116 116 33 32 223 128 128 160 160 139 139 223 224 95 95 116 116 32 31 224 128 128 159 159 139 139 222 222 96 96 116 116 33 33 225 128 128 158 158 138 138 219 219 97 97 117 117 36 36 226 128 128 157 157 138 138 216 216 98 98 117 117 39 39 227 128 128 156 156 138 138 213 213 99 99 117 117 42 42 228 128 128 155 155 137 137 210 210 100 100 118 118 45 45 229 128 128 154 154 137 137 207 207 101 101 118 118 48 48 230 128 128 153 153 137 137 204 204 102 102 118 118 51 51 231 128 128 152 152 136 136 201 201 103 103 119 119 54 54 232 128 128 151 151 136 136 198 198 104 104 119 119 57 57 233 128 128 150 150 136 136 195 195 105 105 119 119 60 60 234 128 128 149 149 135 135 192 192 106 106 120 120 63 63 235 128 128 148 148 135 135 189 189 107 107 120 120 66 66 236 128 128 147 147 135 135 186 186 108 108 120 120 69 69 237 128 128 146 146 134 134 183 183 109 109 121 121 72 72 238 128 128 145 145 134 134 180 180 110 110 121 121 75 75 239 128 128 144 144 134 134 177 177 111 111 121 121 78 78 240 128 128 143 143 133 133 174 174 112 112 122 122 81 81 241 128 128 142 142 133 133 171 171 113 113 122 122 84 84 242 128 128 141 141 133 133 168 168 114 114 122 122 87 87 243 128 128 140 140 132 132 165 165 115 115 123 123 90 90 244 128 128 139 139 132 132 162 162 116 116 123 123 93 93 245 128 128 138 138 132 132 159 159 117 117 123 123 96 96 246 128 128 137 137 131 131 156 156 118 118 124 124 99 99 247 128 128 136 136 131 131 153 153 119 119 124 124 102 102 248 128 128 135 135 131 131 150 150 120 120 124 124 105 105 249 128 128 134 134 130 130 147 147 121 121 125 125 108 108 250 128 128 133 133 130 130 144 144 122 122 125 125 111 111 251 128 128 132 132 130 130 141 141 123 123 125 125 114 114 252 128 128 131 131 129 129 138 138 124 124 126 126 117 117 253 128 128 130 130 129 129 135 135 125 125 126 126 120 120 254 128 128 129 129 129 129 132 132 126 126 126 126 123 123 255 128 128 128 128 129 129 129 129 127 127 126 126 126 126

Returning again to FIG. 21, when binary image data K1″ and K2″ for achieving the desired dot overlap rate explained above is obtained by the quantization processing unit 25, these data are sent to the printer engine 3004 in FIG. 3 by way of an IEEE1284 bus 3022. The printer engine 3004 executes the processing after that.

The processing by the binary data division processing units 27-1 and 27-2 in the printer engine is the same as the processing by the binary data division processing units 67-1 and 67-2 in the first embodiment explained above, so an explanation is omitted here.

The state of each data conversion in the image process explained using FIG. 21 is almost the same as that of the first embodiment explained in FIG. 12. However, in the quantization means 25 of the present embodiment, when performing the error diffusion process for the multi-valued image data 142 for the first scan, the threshold values used in the error diffusion process are set based on the multi-valued image data 143 for the second scan as was explained using FIG. 16 and Table 3. After that, error diffusion processing for binarization is performed on the multi-valued image data 142 for the first scan using these set threshold values and the error diffusion matrix A that is illustrated in FIG. 13A. By doing this, binary quantized data 144 for the first scan is generated. Similarly, when performing error diffusion processing on the multi-valued image data 143 for the second scan, the threshold value used in the error diffusion processing are set based on the multi-valued image data 142 for the first scan as was explained using FIG. 16 and Table 3. After that, error diffusion processing for binarization is performed on the multi-valued image data 143 for the second scan using these set threshold values and the error diffusion matrix that is illustrated in FIG. 13B. By doing so, binary quantized data 145 for the second scan is generated.

In the explanation above, construction is such that the dot overlap rate control described above is not applied between nozzle arrays; however, in this embodiment, as in the first embodiment, it is possible to apply dot overlap rate control between nozzle arrays as well as between scans. However, when applying dot overlap rate control between nozzle arrays, the number of data for quantization increases, so that the data processing load increases. Therefore, in this embodiment, dot overlap rate control is applied to just between scans, and dot overlap rate control is not applied between nozzle arrays.

With the processing explained above, when binary image data that corresponds to different scans is overlapped, there is to a certain extent locations where dot pairs overlap (pixels where there is a ‘1’ in both planes), so it is possible to obtain an image that is resistant to density fluctuation. However, there is not a large number of locations where dots pairs overlap, so that processing is performed without a worsening of graininess due to overlapping of dot pairs. Furthermore, dot overlap rate control is applied only between scans and dot overlap rate control is not applied between nozzle arrays. As a result, it is possible to achieve a good balance between the reduction of density unevenness and the reduction of graininess while the processing load due to dot overlap rate control is suppressed.

With this embodiment explained above, after converting input image data (RGB) to a plurality of multi-value density data (CMYK) that corresponds to different scans at once, quantization processing for each plane is executed based on both of the multi-value data for each plane. By doing so, it is possible to output a high-quality image having excellent robustness and reduced graininess while obtaining the same advantage of the first embodiment of reducing processing.

Variation 1 of Embodiment 3

As described above, the quantization processing that is suitably executed in this embodiment, is error diffusion processing that can control the dot overlap rate as was explained using FIG. 16; however, the quantization processing that can be applied in this embodiment is not limited to this. In the following, another example of quantization processing that can be applied in this embodiment is explained using FIG. 24.

FIG. 24 is a flowchart for explaining one example of an error diffusion method that the control unit 3000 of this embodiment can execute for reducing the dot overlap rate. In this flowchart, all of the parameters are the same as those explained in FIG. 16.

After starting the quantization process for the target pixel, first, in step S11, the values K1 ttl and K2 ttl are calculated, and further the value Kttl is calculated. When doing this, Kttl has a value 0 to 510. Continuing, in steps S12 to S17, values for K1″ and K2″ that correspond to binary quantized data are set according to the size relationship of the value of Kttl and K1 ttl and K2 ttl.

When Kttl>128+255, processing advances to step S14, and both K1″ and K2″ are taken to be ‘1’. In addition, when Kttl≦128, processing advances to step S17, and both K1″ and K2″ are taken to be ‘0’. On the other hand, when 128+255≧Kttl>128, processing advances to step S13, and the size relationship of K1 ttl and K2 ttl is further investigated. In step S13, when K1 ttl>K2 ttl, processing advances to S16, and K1″=1 and K2″=0. When K1 ttl≦K2 ttl, processing advances to step S15, and K1″=0 and K2″=1.

In steps S14 to S17, the accumulated error values K1 err and K2 err are newly calculated and updated according to respectively set output values. In other words, when K1″=1, K1 err=K1 ttl−255, and when K1″=0, K1 err=K1 ttl. Similarly, when K2″=1, K2 err=K2 ttl−255, and when K2″=0, K2 err Continuing further, in step S18, the updated accumulated error values K1 err and K2 err are diffused in to the surrounding pixels for which quantization processing has not yet been completed according to the specified diffusion matrices (for example, the diffusion matrices illustrated in FIGS. 13A and 13B). Here, the error diffusion matrix illustrated in FIG. 13A is used for diffusing the accumulated error value K1 err in surrounding pixels, and the error diffusion matrix illustrated in FIG. 13B is used for diffusing the accumulated error value K2 err in surrounding pixels.

With this variation 1 explained above, quantization processing of multi-valued image data for a first scan and quantization processing of multi-value imaged data for a second scan are executed based on multi-valued image data for both the first scan and the second scan. By doing so, it becomes possible to output an image having a desired dot overlap rate for the two scans, and a high-quality image having excellent robustness and low graininess is obtained.

Variation 2 of Embodiment 3

In the embodiment described above, an example of so-called 2-pass printing was explained in which printing is completed for the same area (for example pixel area) using two printing scans; however, this embodiment is not limited to 2-pass printing. This embodiment can also be applied to M-pass printing (M is an integer 2 or greater) such as 3-pass, 4-pass and 8-pass printing. In the following, image processing in the case of performing 3-pass printing will be explained.

In this second variation, the number of scans for the same area, or in other words, the number of multi-pass es is set to three, and the dot overlap rate is controlled for three planes. In this case, the number of multi-value density data that is generated by the color conversion/image data division unit 22 in FIG. 21 is three. That is, by referencing a three-dimensional LUT that correlates the input image data (RGB) with the multi-value density data (C1M1Y1K1, C2M2Y2K2, C3M3Y3K3) that corresponds to three passes, the input image data is converted to multi-value density data at once. Along with that, the quantization processing unit 25 performs quantization processing of the three sets of multi-value data, or in other words, first multi-value data to third multi-value data, using threshold values that are obtained by referencing a prepared threshold value table, and outputs three sets of binary data.

FIG. 17 is a flowchart for explaining the processing when the control unit 3000 of this embodiment performs quantization of three planes of multi-value data that correspond to three scans. In the flowchart, the various parameters are the same as those explained in FIG. 16. However, for the third scan, the input multi-value data K3′, accumulated error value K3 err, total value of the input multi-value data and accumulated error value K3 ttl and the binary output data K3″ are added. In addition, a threshold value for comparing with K3 ttl in order to set K3″ is taken to be K3table, where this value K3table is a value that is set by referencing the threshold value table and by taking the maximum value from among the values for K1 ttl and K2 ttl.

When this processing is started, first, in step S31, the values K1 ttl, K2 ttl and K3 ttl are calculated, and further, in step S32, by referencing the threshold value table, the values K1table, K2table and K3table are acquired. In this example, the threshold value table that is referenced is the threshold value table illustrated by Table 3 that is increased by one row for K3table. In addition, for the value K1table, the larger value MAX [K2 ttl, K3 ttl] from between K2 ttl and K3 ttl becomes a reference value for selecting the threshold value. Moreover, for K2table, MAX [K1 ttl, K3 ttl] is a reference value for selecting the threshold value, and furthermore for K3table, MAX [K1 ttl, K2 ttl] is a reference value for selecting the threshold value.

Continuing, in steps S33 to S35, the value K1″ is set, in steps S36 to S38, the value K2″ is set, and in steps S39 to S41, the value K3″ is set. When the value K1 ttl, K2 ttl or K3 ttl is equal to or greater than the threshold value acquired in step S32, K1″=1 (step S35), K2″=1 (step S38) or K3″=1 (step S41). However, when the value K1 ttl, K2 ttl or K3 ttl is less than the threshold value acquired in step S32, K1″=0 (step S34), K2″=0 (step S37) or K3″=0 (step S40). Moreover, the accumulated error values K1 err, K2 err and K3 err are calculated and updated according to the respective output values. Furthermore, in step S42, the updated accumulated error values K1 err, K2 err and K3 err are diffused into the surrounding pixels for which quantization processing has not yet been completed according to specified diffusion matrices. This completes this processing. Here as well, the error diffusion matrix illustrated in FIG. 13A is used for diffusing the accumulated error value K1 err in surrounding pixels, and the error diffusion matrix illustrated in FIG. 13B is used for diffusing the accumulated error value K2 err in surrounding pixels.

In the explanation above, the reference value for setting a threshold value (for example K1table) that is used when performing quantization of multi-value data that corresponds to the printing scan in question, is taken to be the maximum value (MAX [K2 ttl, K3 ttl]) of multi-value data that corresponds to another printing scan. However, in this embodiment, the reference values are not limited to this. For example, it is possible to take the sum of multi-value data that corresponds to a plurality of other printing scans (K2 ttl+K3 ttl) as the reference value. Regardless of the method for setting the reference value, this method is effective as long as a threshold value table is prepared from which suitable threshold values are obtained for performing quantization of multi-value data of each individual printing scan.

By using the method explained above, it is possible to generate 3-pass data so that the desired dot overlap rates are achieved. In addition, by applying the method described above, it is possible to generate M-pass data even in the case of multi-pass printing in which the printing head scans the same area (for example, pixel area) of the printing medium M times (M is an integer 2 or greater) so that the desired dot overlap rates are achieved. In this case, in the quantization process for each of respective M-pass data, construction is such that threshold values are selected based on M number of sets of multi-value data.

Variation 3 of Embodiment 3

In the third embodiment described above, dot overlap rate control is applied only between scans and dot overlap rate control is not applied between nozzle arrays. However, it is possible to apply dot overlap rate control not only between scans but also between nozzle arrays. In the following, the respective advantages of applying dot overlap rate control between scans, and of applying dot overlap rate control between both scans and nozzle array are explained.

Printing position displacement between printing scans (cause A), and printing position displacement between nozzle arrays (cause B) are feasible causes of the density fluctuation described above. When dot overlap rate control is applied both between scans and between nozzle arrays in order to reduce density fluctuation caused by both of these causes, it is necessary to adjust the dot overlap rates for four planes based on the four planes of data described below. Here, the four planes are: a plane for the first scan by the first nozzle array, a plane for the second scan by the first nozzle array, a plane for the first scan by the second nozzle array and a plane for the second scan by the second nozzle array. The dot overlap rate control described above has a larger data processing load than divided processing using a mask pattern. Therefore, when controlling the dot overlap rate between all of the planes in order to handle printing position displacement due to both causes described above, there is a possibility that a lot of processing time are needed and the printing speed may decrease due to this processing.

Therefore, in the third embodiment described above, in order to reduce the data processing load and suppress density fluctuation due to printing position displacement, dot overlap rate control is applied only between scans in which there is a relatively large tendency for printing position displacement to occur. Also, dot overlap rate control is not applied between nozzle arrays in which there is a relatively small tendency for printing position displacement to occur. To explain this in more detail, in many printers, there is a smaller tendency for printing position displacement to occur between nozzle arrays than printing position displacement between scans. Particularly, in the case of using a printing head such as in FIG. 20 in which the nozzle arrays of each color are integrally arranged, it is difficult for density unevenness due to density fluctuation to appear even though dot overlap rate control is not applied between nozzle arrays. Therefore, precedence is placed more on reducing the data processing load than on reducing density unevenness, and dot overlap rate control is not applied between nozzle arrays. Moreover, dividing processing using masks is applied between nozzle arrays; however, these masks have a complementary relationship, so that binary data pairs that are divided by these masks do not overlap each other. Therefore, the probability that dot pairs that are printed by different nozzle arrays will overlap on paper becomes low, so that it is possible to reduce graininess more than when dot overlap rate control is applied between nozzle arrays.

For the reasons explained above, in this embodiment, dot overlap rate control is applied only between scans and is not applied between nozzle arrays. However, this does not mean that there is absolutely no density unevenness due to density fluctuation caused by printing position displacement between nozzle arrays. For example, shifting of the printing position may occur between nozzle arrays due to manufacturing error of the printing head, or error that occurred when mounting the printing head into the printer, and there may be cases in which problems of density unevenness due to this cause may appear. In addition, when a head having nozzle arrays that are separate and independent is provided instead of a head having nozzle arrays that are integrated, it becomes easy for printing position displacement to occur between nozzle arrays. Therefore, when suppressing density unevenness takes precedence over reducing processing load, it is preferred that dot overlap rate control is applied between both scans and nozzle arrays. With this form, it is possible to reduce density unevenness due to printing position displacement that is caused by both causes described above.

Other

The explanation above was for the case in which in order to achieve desired dot overlap rates, a table is prepared that makes it possible to select threshold values for performing binarization (quantization) from reference values; however, the quantization method is not limited to the methods described above. It is not absolutely necessary to have construction in which printing (1) and no printing (0) are set through comparison with threshold values. For example, in the case of two planes, it is possible to prepare a two-dimensional table for which printing (1) or no printing (0) of K1″ and K2″ are set by taking both K1 ttl and K2 ttl as reference values. In addition, in the case of three planes, it is possible to prepare a three-dimensional table in which K1″, K2″ and K3″ are set by taking the three values K1 ttl, K2 ttl and K3 ttl as reference values.

The details of the table are omitted; however, using a multi-dimensional table such as this has merits in that it is possible to perform control more simply, and the dot overlap rate can be controlled more freely. On the other hand, using a one-dimensional threshold table such as that of Table 3 has merits in that the table using less memory capacity can be created.

Furthermore, it is also possible to perform binarization (quantization) processing using just branches and operations and not use a table at all. In that case, it is possible to obtain the effect of this embodiment by setting the various coefficients that are used for the operations to values that will achieve desired dot overlap rates. In such a case, it is possible to further reduce the memory capacity (consumed ROM size and RAM size) when compared with the case of preparing the tables described above.

In the explanation above, when performing quantization of multi-valued image data that corresponds to certain relative movement all of the multi-valued image data that corresponds to all other relative movements are taken into consideration; however, this embodiment is not limited to this. For example, in a three-pass mode, when performing quantization of first to third multi-valued image data that corresponds to three relative movements, the first and second multi-valued image data are quantized while taking each other into consideration; however the third multi-valued image data can be quantized without taking into consideration any other multi-valued image data. Even in this case, it is possible to control the overlap rate of dots that are printed in the first relative movement, and the dots that are printed in the second relative movement, so it is possible to obtain the effect of improved robustness and reduced graininess.

Embodiment 4

In the second embodiment, in order to control the dot overlap rate, a method of adjusting the distribution rates by way of the color conversion/image data division unit was explained. Also, in the third embodiment, in order to control the dot overlap rate, a method of processing executed by the quantization processing unit based on multi-value data of each plane was explained. These two methods are both ways of achieving the object of controlling the dot overlap rate.

Therefore, in this embodiment, the dot overlap rate is controlled by using both of these methods together, or in other words using the method of adjusting the distribution rates by way of the color conversion/image data division unit, together with the method of executing quantization processing based on multi-value data of each of the planes.

In other words, after performing the color conversion process using a three-dimensional LUT as explained in the second embodiment (RGB data is converted to multi-value data at once according to distribution rates that depend on the expressed color and density), quantization processing that takes into consideration the other plane as explained in the third embodiment is executed. By doing so, it is possible to achieve the desired dot overlap rates through two-step adjustment of adjustment according to multi-value RGB data, and adjustment according to CMYK values after color conversion. With this embodiment explained above, distribution rates are adjusted according to the input image data (RGB) when converting the input image data (RGB) to a plurality of multi-value density data (CMYK) that corresponds to different scans. Furthermore, after that, quantization processing of each plane is executed based on the multi-value data of the other plane. This makes it possible to obtain the same effect of the first embodiment of reducing processing, as well as output a high-quality image having excellent robustness and reduced graininess.

Embodiment 5

In the first through fourth embodiments, cases were explained in which a series of processes from inputting image data to printing were all performed at a resolution that is equal to the printing resolution. However, recently, as printing resolution continues to increase, when all processes are performed at a resolution that is equal to the printing resolution, that processing requires a very large amount of memory and time, and the load on the printer becomes large. Therefore, it is useful to perform the main image processing at a resolution that is lower (rougher) than the printing resolution, and to send data to the printer engine of the printer after converting 256 gradation multi-valued image data to multi-value data having a lower gradation L value (L is 3 or greater). In this case, the printer engine has dot patterns (index patterns) in memory for converting the received multi-value data having a low gradation L value to binary data that corresponds to the printing resolution. In the following, an example of 3-value conversion will be presented as an example of L-value conversion; however, the value of L is not limited to 3, and needless to say, various values such as L=4, 5, 9 or 16 are possible.

FIG. 23 is a block diagram for explaining image processing in the case of performing multi-pass printing to complete an image in the same area (for example, pixel area) by two printing scans. Processing from the multi-valued image data input unit 41 to the gradation correction processing unit 43 is equivalent to the processing by the multi-valued image data input unit to gradation correction processing unit illustrated in FIG. 6 and FIG. 21. In other words, multi-value RGB image data (256 values) is inputted from an external device by way of the multi-valued image data input unit 41. In addition, the color conversion/image data division unit 42 converts this input image data (multi-value RGB data) to multi-value density data (CMYK) for a first scan, and multi-value density data (CMYK) for a second scan at once. When doing this, in this embodiment, it is possible to distribute (generate) CMYK data uniformly as in the first embodiment, or to distribute (generate) CMYK data that gives a specified bias to the distribution rates for the first printing scan and second printing scan as in the second embodiment. After that, the gradation correction processing units 43-1 to 2 perform gradation correction to generate multi-density data (C1′, M1′, Y1′, K1′) 44-1 for the first scan, and multi-value density data (C2′, M2′, Y2′, K2′) 44-2 for the second scan. The following explanation is performed just for the color black (K).

The multi-value data (K1′) 44-1 for the first scan and the multi-value data (K2′) 44-2 for the second scan are inputted to the quantization processing unit 45. The quantization processing unit 45 quantizes multi-value data (K1′) for the first scan and the multi-value data (K2′) for the second scan to the three values 0 to 2, to generate quantized data (K1″) for the first scan and quantized data (K2″) for the second scan. More specifically, as in the quantization processing performed by the quantization processing unit 25 in the third embodiment, first the values K1 ttl and K2 ttl of accumulated error around K1′ and K2′ are obtained. After that, a threshold value that is used when quantizing the multi-value data (K1′) for the first scan is set based on K2 ttl, and a threshold value that is used when quantizing the multi-value data (K2′) for the second scan is set based on K1 ttl.

In this embodiment, quantization to three values is performed, so that two threshold values, or in other words, a first threshold value and a second threshold value that is greater than the first are used. Moreover, an output value is set according to the size relationship of the total values of the input multi-value data for the target pixel and accumulated error values (total values: K1 ttl and K2 ttl), and the first and second threshold values. In other words, when a total value is equal to or greater than the second threshold value, the output value becomes ‘2’; when a total value is equal to or greater than the first threshold value but less than the second threshold value, the output value becomes ‘1’, and when a total value is less than the first threshold value, the output value becomes ‘0’.

In this way, the multi-value data (K1′) for the first scan is quantized based on the threshold value that is set based on K2 ttl to obtain quantized data (K1″) for the first scan. Similarly, the multi-value data (K2′) for the second scan is quantized based on the threshold value that is set based on K1 ttl to obtain quantized data (K2″) for the second scan. As the method for setting the first threshold value and the second threshold value, as in the example of binarization, a first threshold value table and second threshold value table can be set using the same reference values.

FIG. 18 is a diagram similar to FIG. 22 that illustrates the correlation between results (K1″ and K2″) of quantization (trinarization) processing by the quantization processing unit 45, and the input values (K1 ttl and K2 ttl). In FIG. 18, the values K1″ and K2″ indicate the number of dots printed for the target pixel for both the first printing scan and the second printing scan. Here, the first threshold value that is used for quantizing K2 ttl is indicated by a thick dotted line, and the second threshold value is indicated by thick dashed line.

For example, two dots each are printed in both the first printing scan and second printing scan for the target pixel when both K1″ and K2″ are 2. In addition, one dot is printed in the first scan and two dots are printed in the second scan for the target pixel when K1″ is 1 and K2″ is 2. Moreover, no dots are printed for the target pixel when both K1″ and K2″ are 0.

Referring to FIG. 23 again, the 3-value image data (quantized data) K1″ and K2″ that are quantized by the quantization processing unit 45 are sent to the printer engine 3004, and the index expansion processing unit 46 performs index processing. The index expansion process is a binarization process of the L (L is an integer 3 or greater) value quantized data, so can be taken to be part of the quantization process. This index expansion processing will be explained in detail below.

Next, this index expansion processing unit 46 converts the 3-value image data K1″ to binary image data 47-1 for the first scan, and converts the 3-value image data K2″ to binary image data 47-2 for the second scan. After that, a first scan binary data division unit 48-1 divides the binary image data 47-1 for the first scan into binary data 49-1 for the first scan by the first nozzle array, and binary data 49-2 for the first scan by the second nozzle array. Similarly, a second scan binary data division unit 48-2 divides the binary image data 47-2 for the second scan into binary data 49-3 for the second scan by the first nozzle array, and binary data 49-4 for the second scan by the second nozzle array. This division process is executed using mask patterns as in the first embodiment. In addition, these four kinds of binary data (49-1 to 4) are stored in corresponding buffers (50-1 to 4). After that, after a specified amount of binary data has been stored in each individual buffer, the printing operation is executed according to the data stored in the corresponding buffers.

FIG. 19 is a diagram for explaining one example of the index expansion processing and index patterns (dot patterns) of this embodiment. The index expansion processing unit 46 of this embodiment converts 3-value image data (K1″, K2″) that corresponds to one pixel to binary image data (dot patterns) that corresponds to 2 sub pixels×2 sub pixels. More specifically, 3-value image data K1″ having any value from 0 to 2 is converted to a dot pattern for the first scan. Similarly, 3-value image data K2″ having a value from 0 to 2 is converted to a dot pattern for the second scan. Moreover, a pattern (the dot pattern on the printing medium that is illustrated on the very right side of the figure) obtained by overlapping the dot pattern for the first scan and the dot pattern for the second scan is printed for the pixel. In regards to the dot patterns for the first and second scans, a shaded section is data (‘1’ data) indicating that a dot is printed for the sub pixel, and a white section is data (‘0’ data) indicating that no dot is printed for the sub pixel. Also, in regards to the dot pattern on the printing medium, a black section means that two dots are printed for the sub pixel, a shaded section means that one dot is printed for the sub pixel, and a white section means that no dots are printed for the sub pixel.

Here, FIG. 19 is used to explain the dot overlap rate for the case in which image process that converts 3-value or greater image data corresponding to a pixel to a binary dot pattern corresponding to m×n sub pixels is used. The ‘dot overlap rate’ in such a case indicates the percentage of dots that are overlapped and printed in the same sub pixel position in a pixel area by different scans (or different printing element groups) with respect to the total number of dots to be printed in the pixel area which is made up of a plurality of sub pixels. To explain in more detail, referencing FIG. 19, when both K1″ and K2″ are ‘0’, no dots are printed in either the first printing scan or second printing scan and the dot overlap rate is 0%. When one of K1″ and K2″ is ‘0’ and the other of K1″ and K2″ is ‘1’, a dot is printed in only one of the scans, so the dot overlap rate remains 0%. When both K1″ and K2″ are ‘1’, two dots are overlapped and printed in the upper left sub pixel of the 2 sub pixels×2 sub pixels, so the dot overlap rate is 100% (=2÷2×100). Moreover, when one is ‘1’ and the other is ‘2’, two dots are overlapped and printed for the lower left sub pixels of the 2 sub pixels×2 sub pixels, and only one dot is printed for the upper left sub pixel, so that the dot overlap rate is 67% (=2÷3×100). Furthermore, when both K1″ and K2″ are ‘2’, no dots are overlapped in the sub pixels, so the overlap rate is 0%. In other words, by preparing index patterns (dot patterns) in advance that having one-to-one correspondence with each of the levels illustrated in FIG. 19, the dot overlap rates of pixel areas are also set by setting the combinations of K1″ and K2″ in the quantization process illustrated in FIG. 18.

With this embodiment as explained above, after input image data (RGB) is converted to a plurality of multi-value density data (CMYK) that corresponds to different scans at once, a quantization method as illustrated in FIG. 18, and the dot patterns of FIG. 19 are used to generate binary data. By doing so, it is possible to achieve a reduction of processing in two stages of distribution process of multi-value data in the color conversion/image data division process and the index expansion process. As a result, it is possible to obtain a high-quality image having excellent robustness and reduced graininess, as well as output an image at high speed and high resolution while suppressing the processing load and processing time of the data conversion process.

Embodiment 6

In the first through fifth embodiments, cases of generating a plurality of multi-valued image data that corresponds to a plurality of relative scans based on input image data, and performing characteristic quantization processing of this plurality of multi-valued image data were explained; however, the present invention is not limited to this. It is also possible to replace the plurality of relative scans in the first through fifth embodiment with a plurality of printing element groups.

In other words, in the embodiments described above, it was explained that there was a smaller tendency for printing position displacement to occur between nozzle arrays than printing position displacement between printing scans. However, depending on the case, there is also a possibility that there will be a reversal in the size relationship between the amount of shifting of the printing area between nozzle arrays and the amount of shifting of the printing area between printing scans. For example, when the guiderails 5009 and 5010 in FIG. 5 are curved, and the slope of the carriage 5008 changes during scanning, the printing position displacement between nozzle arrays may become larger than the printing position displacement between printing scans. Moreover, in such a case, applying dot overlap rate control just between nozzle arrays, and applying mask division processing between scans is feasible.

Therefore, in this embodiment, a three-dimensional lookup table that correlates the input image data (RGB) with multi-value density data (CMYK) that corresponds to a plurality of printing element groups (nozzle arrays) for discharging the same color of ink is prepared in advance. The three-dimensional LUT of the embodiments described above can be used for this three-dimensional LUT. Referencing the three-dimensional LUT, input image data (RGB) is converted to multi-value density data (CMYK) that corresponds to a plurality of printing element groups at once. After that, gradation correction processing and quantization processing that are the same as in the embodiments described above are performed, and by doing so, binary image data (for example, K1″, K2″) that corresponds to a plurality of printing element groups is obtained. Next, the binary image data (K1″, K2″) is divided by M types of masks that correspond to M passes. In doing so, binary image data that corresponds to a plurality of printing element groups for M passes is obtained.

There is a printing apparatus mounted a connecting type printing head (connecting head) is cited as another construction for printing by using a plurality of printing element groups. In the connecting head, a plurality of printing element groups arrange in a direction crossing a printing elements arraying direction such as they have overlap regions The present invention can be adopted to a printing apparatus using thus connecting head.

FIG. 25 is a schematic diagram of a print head 2501 of connecting type. According to FIG. 25, in the print head 2501, head chips 2503 a to 2503 f each of which has nozzle array comprising of a plurality of nozzle 2502 (printing element) are arranged checkerwise and there are overlap regions D between two head chips. There are two principal type of printing system which uses the connecting head. One is a system in which the print head 2501 scans indirection crossing the printing element array direction while a printing medium is conveyed in the printing element array direction to perform printing, such as the apparatus illustrated in FIG. 5. The other is a system in which the print head 2501 is fixed while a printing medium is conveyed in the printing element array direction to perform printing. The present invention can be adapted to either printing system as long as the printing apparatus uses a connecting type print head.

For the printing apparatus using the connecting type print head, a three-dimensional lookup table is provided beforehand, in which the input image data (RGB) and the multi-value density data (CMYK) corresponding to the two printing element groups are correlated. As for thus three-dimensional lookup table, the three-dimensional lookup table which disclosed in the above embodiments can be employed. Regarding the overlap region, referring the three-dimensional lookup table, the input image data (RGB) corresponding to the overlap region is converted to multi-value density data (CMYK) corresponding to two printing element groups at once. After that, the gradation correction process and the quantization processing as same as that of above embodiments are performed and binary image data (for example K1″ and K2″) corresponding to two printing element groups are obtained.

Other Embodiments

In the embodiments described above, examples were explained in which a print head having two nozzle arrays (printing element groups) each for discharging ink of the same color were prepared; however, the present invention is not limited to two nozzle arrays (printing element groups) for ejecting ink of the same color. The number of nozzle arrays (printing element groups) for ejecting ink of the same color could be N (N is an integer 1 or greater) such as 1, 4 or 8. Moreover, in most of the embodiments described above, examples of so-called 2-pass printing were explained in which an image is completed by printing over the same area (for example, pixel area) in two relative movements; however, the present invention is not limited to 2-pass printing. The present invention can also be widely applied to M (M is an integer 2 or greater) pass printing such as 3-pass, 4-pass or 8-pass printing. In the case of performing M-pass printing for N number of nozzle arrays, a three-dimensional LUT is prepared in advance that correlates one-to-one the input image data (RGB) and M groups of multi-value density data (CMYK for M sets) that corresponds to M number of relative movements. In addition, using this three-dimensional LUT, the input image data (RGB) is converted to M groups of multi-value density data (CMYK) that correspond to M number of relative movements at once, and this multi-value density data is quantized to generate M groups of quantized data that correspond to M number of relative movements. After that, when N is ‘1’, data division using a mask pattern is not performed, and the image of a same area is printed by one nozzle array of each color during M number of relative movements according to M groups of quantized data that correspond to the M number of relative movements. However, when N is ‘2’ or greater, by dividing the M groups of quantized data that correspond to M number of relative movements into N number of divisions by N number of masks having a complementary relationship with each other, quantized data for M number of relative movements that correspond to N number of nozzle arrays for each color is generated. Moreover, the image of the same area is printed during M number of relative movements of the N number of nozzle arrays according to this quantized data.

In the explanation above, in the case of M-pass printing, an example was explained in which a three-dimensional LUT was prepared in advance that correlates one-to-one the input image data (RGB) and M groups of multi-value density data (CMYK for M sets) that corresponds to M number of relative movements; however, the present invention is not limited to this. In the M-pass printing mode of 3 passes or more, it is not absolutely necessary to generate M groups of density data, and it is possible to generate P (P is an integer 2 or greater) groups of density data, where P is less than M. In this case, first, P groups of density data are generated, where P is less than M, after which the P groups of density data are quantized according to the contents of the embodiments described above to generate P groups of quantized data. After that, at least one group of the P groups of quantized data is divided to obtain M groups of quantized data for M number of passes.

Such processing can be adapted to a configuration in which a connecting type print head having a plurality of nozzle array (printing element group) on one head chip is used. In a case in which a head chip has S nozzle arrays (printing element groups), it is not necessary to generate 2S set density data for 2S nozzle arrays for overlap region. It is also possible to generate less than 2S sets density data. In this case, for example, for two head chips related to the same overlap region, two sets density data are generated and then the quantization processing is performed on the two sets density data according to the above embodiments to obtain two sets quantized data. After that, the two sets quantized data corresponding to each head chip are divided to obtain quantized data corresponding to 2S nozzle arrays.

In the following, an example of the 3-pass mode will be explained in more detail. First, a LUT is prepared that correlates the input image data (RBG) with first density data, which corresponds to both the first and third relative movements, and second density data, which corresponds to the second relative movement. In addition, using this LUT, first density data, which is common for both the first and third relative movements, and second density data, which corresponds to the second relative movement, are generated from the input image data (RGB data). Next, quantized data A is obtained by performing quantization processing of the first density data, and by dividing this quantized data A by a mask pattern, quantized data for the first relative movement and quantized data for the third relative movement are obtained. Moreover, by performing quantization processing of the second density data, quantized data for the second relative movement is obtained. By doing so, it is possible to obtain quantized data (binary data) for three relative movements.

Next, an example of a 4-pass mode will be explained. First, a LUT is prepared that correlates the input image data (RGB) with first density data that corresponds to both first and second relative movements, and second density data that corresponds to both third and fourth relative movements. In addition, using the LUT, first density data that corresponds to both first and second relative movements, and second density data that corresponds to both third and fourth relative movements are generated based on the input image data (RGB data). After that, quantized data B is obtained by performing quantization processing of the first density data, and by dividing this quantized data B by mask patterns, quantized data for the first relative movement and quantized data for the second relative movement are obtained. Moreover, quantized data C is obtained by performing quantization processing of the second density data, and by dividing this quantized data C by mask patterns, quantized data for the third relative movement and quantized data for the fourth relative movement are obtained. By doing so, quantized data (binary data) for four relative movements can be obtained.

As another example, a configuration of a connecting type print head in which four nozzle arrays (printing element groups) are arranged on one head chip will be explained. Here, two head chips related to the same overlap region are defined as a first head chip and a second head chip. In addition, first to fourth printing element groups are arranged in the first head chip and fifth to eighth printing element groups are arranged in the second head chip. First, a lookup table is prepared in which the input image data (RGB), a first density data corresponding to the first to fourth printing element groups of the first head chip and a second density data corresponding to the fifth to eighth printing element groups of the second head chip are correlated. This lookup table can be used for other overlap regions of the print head. By using this lookup table, the first density data corresponding to the first to fourth printing element groups and the second density data corresponding to the fifth to eighth printing element groups are generated based on the input image data (RGB data) corresponding to the overlap region between the first head chip and the second head chip. Next, quantized data D is obtained by performing quantization processing on the first density data, and by dividing the quantized data D using mask pattern quantized data for each of first to fourth printing element groups are obtained. Furthermore, quantized data E is obtained by performing quantization processing on the second density data, and by dividing the quantized data E using mask pattern quantized data for each of fifth to eighth printing element groups are obtained. By doing this, eight set quantized data (binary data) corresponding to eight arrays of printing element groups making up the overlap region are obtained.

As can be clearly seen from the explanation above, in the M-pass printing mode of the present invention, it is possible to use a LUT for generating P groups of density data, where P is less than M, as described above, and it is also possible to use a LUT for generating M groups of density data as in the first embodiment described above. In short, in the present invention, a LUT can be used that correlates the input image data with first density data, which corresponds to at least one relative movement, and second density data, which corresponds to at least one other relative movement. As can be clearly seen from the fourth embodiment, the M-pass data generation processing explained here can be applied to the data generation process for N printing element groups. In other words, a LUT for generating P groups of density data, where P is less than N, or a LUT for generating N groups of density data as in the fourth embodiment described above can be used even in the case of using N number of printing element groups that eject ink of the same color.

Moreover, in the embodiments described above, the case of using four colors of ink, CMYK, was explained; however, the type and number of colors of ink that can be used is not limited to this. It is also possible to add to the four colors of ink, such as light cyan (Lc) and light magenta (Lm), or special color inks red ink (R) and blue ink (B). In addition, in the embodiments described above, the case of executing the color printing mode in which a plurality of color inks are used was explained; however, the invention can also be applied to a mono color mode in which only a single color ink is used. In that case, a plurality of single-color density data that corresponds to a plurality of relative movements is generated from the input image data (RGB). Furthermore, the present invention can be applied to either a color printer or a monochromic printer.

In the embodiments described above, a printing head having a plurality of nozzles arrays that are integrated in a parallel arrangement as illustrated in FIG. 20 is used; however, the present invention is not limited to this form. The nozzle arrays that discharge ink of the same color can be one array, or a plurality of nozzle arrays that discharge ink of the same color and be arranged in a parallel arrangement on one printing head. Moreover, each nozzle array could be arranged on a different printing head. When the number of printing heads is increased in this way, a further increase in printing position displacement between nozzle arrays for the same printing scan will be forecasted.

Furthermore, in the embodiments described above, RGB data was used as the input image data; however the invention is not limited to this. It is also possible to use YCC data that includes a brightness signal (Y) and two color-difference signals (Cr and Cb) as the input image data. In that case, a two-dimensional lookup table that correlates one-to-one the input image data (brightness signal/color difference signals) with a plurality of multi-value density data that corresponds to a plurality of relative movement (or plurality of printing element groups) is used, and the input image data is converted to density data at once. Regardless of the form of input image data, as long as divisions of multi-value density data are generated, the advantages of the present invention can be obtained as in the embodiments described above.

Furthermore, in the embodiments described above, the case of using a printer having an electrical block diagram as illustrated in FIG. 3 to FIG. 4 was explained; however, the present invention is not limited to this kind of construction. For example, the printer control unit and printer engine unit were explained as being separate independent modules; however, the control unit and printer engine unit can share the same ASIC, CPU, ROM and RAM. In addition, in the figures, the control unit and printer engine unit are connected by a general I/F such as a USB or IEEE1284; however, the present invention can use any connection method. Moreover, connection from a PC takes the form of direct connection to the printer engine unit via a USB HUB; however the control unit can also relay the image data. Furthermore, as necessary, the control unit can send image data from the PC to the printer engine after performing suitable image processing of the image data.

In the embodiments described above, construction in which the image processing up through quantization was executed by the control unit 3000, and processing after that was executed by the printer engine 3004 was explained; however, the invention is not limited to that kind of construction. As long as the series of processes described above are executed, any form and any processing method, regardless of hardware or software, is within the scope of the present invention.

In the embodiments described above, an image processing apparatus that executes the characteristic image processing of the present invention was explained using a printer that comprises a control unit 3000 having an image processing function as an example; however, the invention is not limited to this kind of construction. The characteristic image processing of the present invention could be executed by a host device in which a printer driver is installed (for example, the PC 3010 in FIG. 3), or construction could be such that image data is input to the printer after performing quantization processing or division processing. In such a case, the host device (external device) that is connected to the printer corresponds to the image processing apparatus of the present invention. The invention can also be realized by program code of a program that can be read by a computer in order achieve the image processing functions described above, or a memory medium that stores that program code. In that case, the image processing described above is realized by a computer (or CPU or MPU) of a host device or image formation device reading and executing the program code. The program that can be read by a computer and cause the computer to execute the image processing described above in this way, and the memory medium that stores that program are also included in the present invention.

It is possible to use a memory medium such as a floppy (registered trademark) disk, hard disk, optical disk, magneto optical disk, CD-ROM, CD-R, magnetic tape, non-volatile memory card and ROM as the memory medium for supplying the program code.

Moreover, by the computer executing the read program code, not only can the functions of the embodiments described above be realized, but it is also possible for the OS of the computer to perform part or all of the actual processing based on the instructions of that program code. Furthermore, after the program code has been written on the function expansion board installed in the computer, or function expansion unit that is connected to the computer, the CPU or the like can perform part or all of the actual processing based on the instructions of that program code.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. The scope of the following claims is to be accorded the broadest interpretation so as to encompass all such modifications and equivalent structures and functions.

This application claims the benefit of Japanese Patent Application No. 2009-145694, filed Jun. 18, 2009, which is hereby incorporated by reference herein in its entirety. 

What is claimed is:
 1. An image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to the printing medium comprising: a generation unit configured to generate a plurality of density data that corresponds to the plurality of relative movements respectively, representing a density value for the same color based on the input image data, wherein the plurality of density data includes a first density data which is the density data that corresponds to at least one relative movement of the plurality of relative movements and a second density data that corresponds to at least one other relative movement of the plurality of relative movements, and wherein the generation unit determines a ratio of a density value of the first density data to a density value of the second density data based on a gradation value of an input image data; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.
 2. The image processing apparatus according to claim 1, wherein bias of the ratio of the plurality of density data values for the same color when the input image data expresses medium density becomes smaller than both of the bias of the ratio of the plurality of density data values for the same color when the input image data expresses a low density and the bias of the ratio of the plurality of density values for the same color when the input image data express high density.
 3. The image processing apparatus according to claim 1, wherein each of the plurality of density data corresponds to each of the plurality of relative movements.
 4. The image processing apparatus according to claim 1, wherein the plurality of relative movements is three relative movements; and wherein the first density data corresponds in common to two relative movements.
 5. The image processing apparatus according to claim 1, wherein the plurality of relative movements is four relative movements; wherein the first density data corresponds in common to two relative movements; and wherein the second density data corresponds in common to two other relative movements.
 6. The image processing apparatus according to claim 1, wherein the input image data is RGB data.
 7. The image processing apparatus according to claim 1, wherein the quantization processing is error diffusion processing.
 8. The image processing apparatus according to claim 7, wherein a diffusion matrix that is used by the quantization unit for performing an error diffusion processing to the first density data is different from a diffusion matrix that is used by the quantization unit for performing an error diffusion processing to the second density data.
 9. The image processing apparatus according to claim 1, wherein the quantization unit generates a plurality of binary quantized data by binary quantization processing.
 10. The image processing apparatus according to claim 1, wherein the quantization unit generates a plurality of L-value quantized data by L-value quantization processing that uses an error diffusion method, and converts each of the plurality of L-value quantized data to binary quantized data by dot patterns, and wherein L is an integer 3 or greater.
 11. The image processing apparatus according to claim 1, wherein the generation unit generates the plurality of density data by referencing a lookup table that correlates the input image data with the plurality of density data for the same color that corresponds to the plurality of relative movements.
 12. The image processing apparatus according to claim 11, wherein the generation unit determines the ratio of the density value of first density data to the density value of the second density data based on the lookup table.
 13. An image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a plurality of printing element groups for ejecting ink of the same color in nearly equal amounts a plurality of times relative to the printing medium comprising: a generation unit configured to generate a plurality of density data that corresponds to the plurality of printing element groups respectively, representing a density value for the same color based on the input image data, wherein the plurality of density data includes first density data which is density data that corresponds to at least one printing element group of the plurality of printing element groups and a second density data that corresponds to at least one other printing element group of the plurality of printing element groups, and wherein the generation unit determines a ratio of a density value of the first density data to a density value of the second density data based on a gradation value of an input image data; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.
 14. The image processing apparatus according to claim 13, wherein the input image data is RGB data.
 15. The image processing apparatus according to claim 13, wherein the quantization processing is error diffusion processing.
 16. The image processing apparatus according to claim 15, wherein a diffusion matrix that is used by the quantization unit for performing an error diffusion processing to the first density data is different from a diffusion matrix that is used by the quantization unit for performing an error diffusion processing to the second density data.
 17. The image processing apparatus according to claim 13, wherein the generation unit generates the plurality of density data by referencing a lookup table that correlates the input image data with the plurality of density data for the same color that corresponds to the plurality of printing element groups.
 18. The image processing apparatus according to claim 17, wherein the generation unit determines the ratio of the density value of first density data to the density value of the second density data based on the lookup table.
 19. An image processing apparatus for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to the printing medium, the print unit having a plurality of printing element groups for ejecting ink of the same color in nearly equal amounts, arranged in a printing elements arraying direction such that the plurality of printing element groups have overlap regions in a direction crossing the printing elements arraying direction, the image processing apparatus comprising: a generation unit configured to generate a plurality of density data that corresponds to the plurality of printing element groups respectively, representing a density value, related to the same overlap region for the same color based on the input image data, wherein the plurality of density data includes first density data which is a density data that corresponds to at least one printing element group of the plurality of printing element groups and a second density data that corresponds to at least one other printing element group of the plurality of printing element groups, and wherein the generation unit determines a ratio of a density value of the first density data to a density value of the second density data based on a gradation value of an input image data; and a quantization unit configured to perform quantization processing of each of the plurality of density data for the same color.
 20. An image processing method for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit a plurality of times relative to a print medium, comprising the steps of: generating a plurality of density data that corresponds to the plurality of relative movements respectively, representing a density value for the same color based on the input image data, wherein the plurality of density data includes first density data which is the density data that corresponds to at least one relative movement of the plurality of relative movements and a second density data that corresponds to at least one other relative movement of the plurality of relative movements, and wherein the generating step determines a ratio of a density value of the first density data to a density value of the second density data based on a gradation value of an input image data; and quantizing each of the plurality of density data for the same color.
 21. The image processing method according to claim 17, wherein the input image data is RGB data.
 22. An image processing method for processing input image data that corresponds to a pixel area in order to execute printing in the pixel area of a printing medium by moving a print unit having a plurality of printing element groups for ejecting ink of the same color in nearly equal amounts relative to the printing medium, comprising the steps of: generating a plurality of density data that corresponds to the plurality of printing element groups respectively, representing a density value for the same color based on the input image data, wherein the plurality of density data includes a first density data which is density data that corresponds to at least one printing element group of the plurality of printing element groups and a second density data that corresponds to at least one other printing element group of the plurality of printing element groups, and wherein the generating step determines a ratio of a density value of the first density data to a density value of the second density data based on a gradation value of an input image data; and quantizing each of the plurality of density data for the same color.
 23. The image processing method according to claim 22, wherein the quantization processing is error diffusion processing.
 24. The image processing apparatus according to claim 13, wherein a bias of the ratio of the plurality of density data values for the same color when the input image data expresses medium density becomes smaller than both of the bias of the ratio of the plurality of density data values for the same color that are generated when the input image data expresses a low density and the bias of the ratio of the plurality of density values for the same color when the input image data express high density. 